ipsj-final.dvi

Size: px
Start display at page:

Download "ipsj-final.dvi"

Transcription

1 Vol. 44 No. 6 June 2003 Java IA-32 IEEE 754 IA-32 Java Just-in-Time 40% Efficient Implementation of Strict Floating-point Semantics Kazuyuki Shudo, Satoshi Sekiguchi and Yoichi Muraoka IA-32 processors yield different results of floating-point operations from other processors, even though they are all compliant with IEEE 754. The Java specifications need runtime systems to implement the FP-strict semantics, which other IEEE 754 compliant processors naturally fulfill. We implemented the semantics on a Java Just-in-Time compiler for IA-32. This study reveals that single-precision operations can be performed with precision control bits of the processor staying as double-precision. Performance evaluation demonstrates that our implementation method reduced the performance decline by the semantics down to 40%. 1. IEEE 754 1) SPARCAlphaPowerPCMIPSIA-32 x86 IEEE 754 IA-32 IA-32 Java Java National Institute of Advanced Industrial Science and Technology School of Science & Engineering, Waseda University 2) IA-32 Java 3) SPARC IA-32 IA-32 Java Intel IBM Java 2 strictfp 4) strictfp strictfp IA-32 strictfp strictfp Java JIT 5),6) JIT 1234

2 Vol. 44 No. 6 Java 1235 Java IA-32 Java strictfp 7 Java 2. IA-32 IEEE 754 normalized number ( 1) s 2 E (1.b 1b 2 b p 1) 2 10 s : 0 1 b i : 1 0 1) p : [bit] E : IA-32 IEEE IEEE 754 IA-32 x87 Table 1 1 The properties of each precision of IA-32. [bit] p [bit] E [bit] E E IA () 32 bit bit x86 80 bit x (not 11) bit 1 IA-32 Fig. 1 Floating-point value formats of IA x87 SPARC fmuls fmuld MIPS mul.s mul.d 1 1 x87 IA IA reg + IA-32 x (1) reg (2) reg (3) reg strictfp IA-32 IA-32 Intel AMD K6 AthlonTransmeta Crusoe 3. Golliver IA-32 strictfp FP-strict 4) Golliver 7) Java Grande Numerics Working Group FP-strict

3 1236 June : (b) xx...xx xx( 0 1 )xx... (c) (b) xx( 0 1 )xx... (c) 0 : xx...xx xx( 0 1 )xx (a) (: x 0 1.) Fig Binary expression of double-precision values that suffers double rounding Golliver 2 4 7) Golliver store-reload scaling FP-strict FP-strict denormalized number 15 normalized number 2 0 IEEE ( 1) s 2 E (0.b 1b 2 b p 1) gradual IEEE

4 Vol. 44 No. 6 Java 1237 (1) (2) (3) (4) (5) (6) 2...x 1 1xx( 0 1 )xx......x x 1 0xx x 0 1xx( 0 1 )xx......x x 0 0xx... Fig (3)(2) 1 (4)(5) (: 2. x 0 1.) 3 2 The mechanism of double rounding problem. 2 2 FP-strict a bc 4 15 IA IEEE IEEE (b) 1...xx (4)...xx xx( 0 1 )xx... (c) 1...xx 0 1 (5) 2...xx (a) 1...xx 1...xx xx( 0 1 )xx... (3) 1...xx xx 0 (2)...xx 1 0 : (a)(c) 0 (b) Fig. 4 The bit patterns of significand that suffers double rounding problem a 1 b c a 1 bc 0 3 4abc 0

5 1238 June abc ac b ac 0 b ac 0 b 1 2 IEEE (0x x3FF ) (0x000FFFFFFFFFFFFF 0x3FEFFFFFFFFFFFFF) ( 1022) gradual IEEE JIT 3 Golliver Java JIT shujit 5),6) Java bytecode dmul shujit internal instruction flush_cache dld dmul dst IA-32 machine language addl $8,%esp fmull (%esp) 5 shujit Fig. 5 Code generation method of shujit. JIT 4.1 JIT shujit IA-32 JIT OS Linux FreeBSDNetBSD 5 Java 1 5 5) 1 Golliver 4.3 FP-strict 1 frcstrictfp FP-strict strictfp 1 ignstrictfp strictfp frcstrictfp FP-strict

6 Vol. 44 No. 6 Java IA-32 x87 2 FP-strict FP-strict IA (1) 53 (2) : : xx...xx xx...xx xx( 0 1 )xx... (a) xx...xx xx( 0 1 )xx (b) xx( 0 1 )xx... (c) xx...xx (a) 1 2 (b) xx( 0 1 )xx... (c) (b) xx( 0 1 )xx... (c) 6 2 Fig. 6 The significands that suffers double rounding to double and single precision

7 1240 June xx...xx xx( 0 1 )xx xx( 0 1 )xx xx...xx xx( 0 1 )xx (: ) xx( 0 1 )xx Fig. 7 The bit patterns that suffers double rounding to double and single precision xxx xxx xxxx xx xx( 0 1 ) 6 8 Fig. 8 Addition and subtraction of single precision numbers A GHz Pentium FP-strict 4.3 JIT 2 3 IA-32 x n fscale 2 strictfp JIT JIT fscale MHz Pentium II

8 Vol. 44 No. 6 Java BulletTrain 8) 2.0.0b15 BulletTrain Ahead-of-Time strictfp 2 IA GHz Pentium MHz Mobile Pentium III OS BulletTrain Windows 2000 SP2 Linux shujit Java Blackdown Java 2 SE FCS Pentium 4 shujit SSE2 x87 SSE2 SSE C FP-strict C Java C 4.3 C GCC Pentium 4 Pentium 4 Pentium III ªªªªª ªªªªª ªªªªª ªªªªª ªªªªªªª s ªª 9 Pentium 4 Fig. 9 Multiplication on Pentium 4 processor. ªªªªª ªªªªª ªªªªª ªªªªª ªªªªªªª s ªª 10 Pentium 4 Fig. 10 Division on Pentium 4 processor. ªªªªª ªªªªª ªªªªª ªªªªª ªªªªªªª s ªª 11 Pentium III Fig. 11 Multiplication on Pentium III processor. ªªªªª ªªªªª ªªªªª ªªªªª ªªªªªªª s ªª 12 Pentium III Fig. 12 Division on Pentium III processor. Pentium III 4 raw

9 1242 June 2003 Table 2 2 C Penalty for FP-strictness in C language., raw Pentium 4, Pentium 4, Pentium III, Pentium III, ªªªªª ˆ 13 Pentium 4 SPEC JVM98 Fig. 13 SPEC JVM98 on Pentium 4 processor. ˆ ªªªªª 14 Pentium 4 Linpack Benchmark Fig. 14 Linpack benchmark on Pentium 4 processor. 2 FP-strict shujit fscale 23 BulletTrain fscale Pentium 4 Pentium III 2 C FP-strict raw Java Grande Numerics WG FP-strict 2 4 7) 2 6 C 5.2 SPEC JVM98 Linpack Benchmark Pentium 4 SPEC JVM98Pentium 4 Linpack Pentium III SPEC JVM98Pentium III Linpack FP-strict ªªªªª ˆ 15 Pentium III SPEC JVM98 Fig. 15 SPEC JVM98 on Pentium III processor. ˆ ªªªªª 16 Pentium III Linpack Benchmark Fig. 16 Linpack benchmark on Pentium III processor.

10 Vol. 44 No. 6 Java shujit FP-strict Table 3 Performance ratio of FP-strict operation to normal operation with shujit. fscale Pentium 4, mpegaudio 58.2% 36.8% Pentium 4, Linpack 62.5% 36.6% Pentium III, mpegaudio 74.3% 46.3% Pentium III, Linpack 59.6% 40.6% shujit % 74.3% 60% 40% fscale 36.6% 46.3% 5.1 fscale 6. SSE2 IA-32 Pentium 4 Streaming SIMD Extensions 2SSE2SSE2 Single Instruction Multiple DataSIMD IEEE 754 IEEE 754 9) SIMD Single Instruction Single DataSISD 1 IA-32 x87 x87 sin x87 SSE2 Golliver 3 FP-strict x87 15 FP-strict SSE SSE2 x87 SSE2 x87 FP-strict 5.1 SPEC JVM98 jess SSE2 1% 3% x87 SSE2 SSE2 FP-strict SSE Pentium 4 IA IA-32 SSE2 SSE2 Pentium III IA-32 PC Java Pentium 4 IA-32 x87 FP-strict 7. strictfp Java strictfp 1 IA-32 strictfp Java IEEE ) strictfp IEEE IEEE

11 1244 June 2003 IA-32 Streaming SIMD ExtensionsSSE SSE SSE2 6 SSE2 128 XMM SSE 4 SSE FP-strict SSE Pentium III Transmeta Crusoe TM5600 Pentium II IA IA-32 IEEE 754 Java JIT fscale 40% Java strictfp IA-32 Java Java IA ) : IEEE Standard for Binary Floating-point Arithmetic (1985). 2) Lindholm, T. and Yellin, F.: The Java Virtual Machine Specification, Addison Wesley (1997). 3) Gosling, J., Joy, B., Steele, G. and Bracha, G.: Java Language Specification, Second Edition, Addison Wesley (2000). 4) Sun Microsystems, Inc.: Updates to the Java Language Specification for JDK Release 1.2 Floating Point (1999). docs/books/jls/strictfp-changes.pdf. 5),, : Java Just-in- Time,, Vol. J86-DI, No. 4, pp (2003). 6) Shudo, K.: shujit Java Just-in-Time Compiler for x86 processors (1998). shudo.net/jit/. 7) Java Grande Forum Numerics Working Group: Improving Java for Numerical Computation (1998). javanumerics/. 8) NaturalBridge, Inc.: BulletTrain optimizing bytecode compiler (1998). naturalbridge.com/bullettrain.html. 9) Intel Corporation: IA 32 Intel Architecture Software Developer s Manual Volume 1: Basic Architecture (2001). A GHz Pentium

12 Vol. 44 No. 6 Java m n m n f mf n mn 23 f m f n f m +2 0 (1.m) f m f n e m e n mn g mg n mn 2 em en 127 g m g n 2 Golliver FP-strict Fig. 17 Algorithm to search pairs of dividend and divisor which suffer doublerounding in single-precision division. 4 e n Table 4 Quotients corresponding to exponent of divisor e n. e n (0 21 ) (0 22 ) (0 22 ) e n e n f mg m f n g n ( ) ( ) 2 e n e n m n e n 4 e n e n e n IEEE CSACM

13 1246 June SIGMA-1 Ninf SIAMIEEE Ph.D Illiac-IV NTT 1985

メタコンピュータ構成方式の研究

メタコンピュータ構成方式の研究 : ( ) Internet, Computational Resources, , MPI, PVM - RPC, (ORB),, Java (JVM) Java?,, code verification & sand box Java JIT Java (JVM) : Java (, ) cf., disconnected operation - Java MobaThread.goTo( );

More information

fmaster.dvi

fmaster.dvi 9 888 Java Just-in-Time OpenJIT 11 1 1 1 1.1 : : : : : : : : : : : : : : : : : : : : 1 1.2 : : : : : : : : : : : : : : : : : : : : : : : : 2 1.3 : : : : : : : : : : : : : : : : : : : : : : : : 6 1.4 :

More information

64bit SSE2 SSE2 FPU Visual C++ 64bit Inline Assembler 4 FPU SSE2 4.1 FPU Control Word FPU 16bit R R R IC RC(2) PC(2) R R PM UM OM ZM DM IM R: reserved

64bit SSE2 SSE2 FPU Visual C++ 64bit Inline Assembler 4 FPU SSE2 4.1 FPU Control Word FPU 16bit R R R IC RC(2) PC(2) R R PM UM OM ZM DM IM R: reserved (Version: 2013/5/16) Intel CPU (kashi@waseda.jp) 1 Intel CPU( AMD CPU) 64bit SIMD Inline Assemler Windows Visual C++ Linux gcc 2 FPU SSE2 Intel CPU double 8087 FPU (floating point number processing unit)

More information

support.book

support.book BEAWebLogic Platform ªªª ª yª ª ª ª ª ªª ªªªª 7.0 ªªªª ªªª 2 ªª ª ª : 2003 2 u : m Copyright 2003 BEA Systems, Inc. All Rights Reserved. ªª ª ªªª ª BEA Systems, Inc. ªª ª ª ª ª ª ª ª ªªª «BEA «vw ~ ª ªª

More information

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2 CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for

More information

jssst07.dvi

jssst07.dvi 24 2007 1 Java A Method to Reduce the Memory Footprint of Java VM Kiyokuni KAWACHIYA Kazunori OGATA Tamiya ONODERA IBM Research, Tokyo Research Laboratory kawatiya@jp.ibm.com Java Java 30% String char

More information

ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR

ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR Vol. 51 No. 11 2081 2088 (Nov. 2010) 2 1 1 1 which appended specific characters to the information such as identification to avoid parity check errors, before QR Code encoding with the structured append

More information

ストリーミング SIMD 拡張命令2 (SSE2) を使用した SAXPY/DAXPY

ストリーミング SIMD 拡張命令2 (SSE2) を使用した SAXPY/DAXPY SIMD 2(SSE2) SAXPY/DAXPY 2.0 2000 7 : 248600J-001 01/12/06 1 305-8603 115 Fax: 0120-47-8832 * Copyright Intel Corporation 1999, 2000 01/12/06 2 1...5 2 SAXPY DAXPY...5 2.1 SAXPY DAXPY...6 2.1.1 SIMD C++...6

More information

23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h

23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h 23 FPGA CUDA Performance Comparison of FPGA Array with CUDA on Poisson Equation (lijiang@sekine-lab.ei.tuat.ac.jp), (kazuki@sekine-lab.ei.tuat.ac.jp), (takahashi@sekine-lab.ei.tuat.ac.jp), (tamukoh@cc.tuat.ac.jp),

More information

CPU Levels in the memory hierarchy Level 1 Level 2... Increasing distance from the CPU in access time Level n Size of the memory at each level 1: 2.2

CPU Levels in the memory hierarchy Level 1 Level 2... Increasing distance from the CPU in access time Level n Size of the memory at each level 1: 2.2 FFT 1 Fourier fast Fourier transform FFT FFT FFT 1 FFT FFT 2 Fourier 2.1 Fourier FFT Fourier discrete Fourier transform DFT DFT n 1 y k = j=0 x j ω jk n, 0 k n 1 (1) x j y k ω n = e 2πi/n i = 1 (1) n DFT

More information

(Version: 2017/4/18) Intel CPU 1 Intel CPU( AMD CPU) 64bit SIMD Inline Assemler Windows Visual C++ Linux gcc 2 FPU SSE2 Intel CPU do

(Version: 2017/4/18) Intel CPU 1 Intel CPU( AMD CPU) 64bit SIMD Inline Assemler Windows Visual C++ Linux gcc 2 FPU SSE2 Intel CPU do (Version: 2017/4/18) Intel CPU (kashi@waseda.jp) 1 Intel CPU( AMD CPU) 64bit SIMD Inline Assemler Windows Visual C++ Linux gcc 2 FPU SSE2 Intel CPU double 8087 FPU (floating point number processing unit)

More information

64bit SSE2 SSE2 FPU Visual C++ 64bit Inline Assembler 4 FPU SSE2 4.1 FPU Control Word FPU 16bit R R R IC RC(2) PC(2) R R PM UM OM ZM DM IM R: reserved

64bit SSE2 SSE2 FPU Visual C++ 64bit Inline Assembler 4 FPU SSE2 4.1 FPU Control Word FPU 16bit R R R IC RC(2) PC(2) R R PM UM OM ZM DM IM R: reserved (Version: 2013/7/10) Intel CPU (kashi@waseda.jp) 1 Intel CPU( AMD CPU) 64bit SIMD Inline Assemler Windows Visual C++ Linux gcc 2 FPU SSE2 Intel CPU double 8087 FPU (floating point number processing unit)

More information

P2P P2P peer peer P2P peer P2P peer P2P i

P2P P2P peer peer P2P peer P2P peer P2P i 26 P2P Proposed a system for the purpose of idle resource utilization of the computer using the P2P 1150373 2015 2 27 P2P P2P peer peer P2P peer P2P peer P2P i Abstract Proposed a system for the purpose

More information

IPSJ SIG Technical Report Vol.2013-ARC-203 No /2/1 SMYLE OpenCL (NEDO) IT FPGA SMYLEref SMYLE OpenCL SMYLE OpenCL FPGA 1

IPSJ SIG Technical Report Vol.2013-ARC-203 No /2/1 SMYLE OpenCL (NEDO) IT FPGA SMYLEref SMYLE OpenCL SMYLE OpenCL FPGA 1 SMYLE OpenCL 128 1 1 1 1 1 2 2 3 3 3 (NEDO) IT FPGA SMYLEref SMYLE OpenCL SMYLE OpenCL FPGA 128 SMYLEref SMYLE OpenCL SMYLE OpenCL Implementation and Evaluations on 128 Cores Takuji Hieda 1 Noriko Etani

More information

GPGPU

GPGPU GPGPU 2013 1008 2015 1 23 Abstract In recent years, with the advance of microscope technology, the alive cells have been able to observe. On the other hand, from the standpoint of image processing, the

More information

SQUFOF NTT Shanks SQUFOF SQUFOF Pentium III Pentium 4 SQUFOF 2.03 (Pentium 4 2.0GHz Willamette) N UBASIC 50 / 200 [

SQUFOF NTT Shanks SQUFOF SQUFOF Pentium III Pentium 4 SQUFOF 2.03 (Pentium 4 2.0GHz Willamette) N UBASIC 50 / 200 [ SQUFOF SQUFOF NTT 2003 2 17 16 60 Shanks SQUFOF SQUFOF Pentium III Pentium 4 SQUFOF 2.03 (Pentium 4 2.0GHz Willamette) 60 1 1.1 N 62 16 24 UBASIC 50 / 200 [ 01] 4 large prime 943 2 1 (%) 57 146 146 15

More information

untitled

untitled Java Just-in-Time Cost-Effective Compilation Techniques for Java Just-in-Time Compilers Kazuyuki SHUDO, Satoshi SEKIGUCHI, and Yoichi MURAOKA Java Just-in-Time Java 1 Just-in-Time Java Java 1. Java Just-in-Time

More information

スライド 1

スライド 1 swk(at)ic.is.tohoku.ac.jp 2 Outline 3 ? 4 S/N CCD 5 Q Q V 6 CMOS 1 7 1 2 N 1 2 N 8 CCD: CMOS: 9 : / 10 A-D A D C A D C A D C A D C A D C A D C ADC 11 A-D ADC ADC ADC ADC ADC ADC ADC ADC ADC A-D 12 ADC

More information

組込みシステムシンポジウム2011 Embedded Systems Symposium 2011 ESS /10/20 FPGA Android Android Java FPGA Java FPGA Dalvik VM Intel Atom FPGA PCI Express DM

組込みシステムシンポジウム2011 Embedded Systems Symposium 2011 ESS /10/20 FPGA Android Android Java FPGA Java FPGA Dalvik VM Intel Atom FPGA PCI Express DM Android Android Java Java Dalvik VM Intel Atom PCI Express DMA 1.25 Gbps Atom Android Java Acceleration with an Accelerator in an Android Mobile Terminal Keisuke Koike, Atsushi Ohta, Kohta Ohshima, Kaori

More information

,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation

,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation 1 1 1 1 SPEC CPU 2000 EQUAKE 1.6 50 500 A Parallelizing Compiler Cooperative Multicore Architecture Simulator with Changeover Mechanism of Simulation Modes GAKUHO TAGUCHI 1 YOUICHI ABE 1 KEIJI KIMURA 1

More information

1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan

1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:

More information

2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055

2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055 1 1 1 2 DCRA 1. 1.1 1) 1 Tactile Interface with Air Jets for Floating Images Aya Higuchi, 1 Nomin, 1 Sandor Markon 1 and Satoshi Maekawa 2 The new optical device DCRA can display floating images in free

More information

soturon.dvi

soturon.dvi 12 Exploration Method of Various Routes with Genetic Algorithm 1010369 2001 2 5 ( Genetic Algorithm: GA ) GA 2 3 Dijkstra Dijkstra i Abstract Exploration Method of Various Routes with Genetic Algorithm

More information

ohp1.dvi

ohp1.dvi 2008 1 2008.10.10 1 ( 2 ) ( ) ( ) 1 2 1.5 3 2 ( ) 50:50 Ruby ( ) Ruby http://www.ruby-lang.org/ja/ Windows Windows 3 Web Web http://lecture.ecc.u-tokyo.ac.jp/~kuno/is08/ / ( / ) / @@@ ( 3 ) @@@ :!! ( )

More information

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato

More information

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble 25 II 25 2 6 13:30 16:00 (1),. Do not open this problem boolet until the start of the examination is announced. (2) 3.. Answer the following 3 problems. Use the designated answer sheet for each problem.

More information

Source: Intel.Config: Pentium III Processor-Intel Seattle SE440BX-2, 128MB PC100 CL2 SDRAM Intel 440BX-2 Chipset Platform- Diamond Viper 550 /

Source: Intel.Config: Pentium III Processor-Intel Seattle SE440BX-2, 128MB PC100 CL2 SDRAM Intel 440BX-2 Chipset Platform- Diamond Viper 550 / 2002.1 4 1 2 3 Source: Intel.Config: Pentium III Processor-Intel Seattle SE440BX-2, 128MB PC100 CL2 SDRAM Intel 440BX-2 Chipset Platform- Diamond Viper 550 / nvidia TNT 2x AGP with 16MB memory, nvidia

More information

1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N

1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N GPU 1 1 2 1, 3 2, 3 (Graphics Unit: GPU) GPU GPU GPU Evaluation of GPU Computing Based on An Automatic Program Generation Technology Makoto Sugawara, 1 Katsuto Sato, 1 Kazuhiko Komatsu, 2 Hiroyuki Takizawa

More information

maegaki_4_suzuki_yuusuke.pdf

maegaki_4_suzuki_yuusuke.pdf JavaScript, ECMA262 5.1(June 2011) TC39 Conformance Suite Test262 Building modern JavaScript Engine YUSUKE SUZUKI, We implemented an engine that is fully compliant with ECMA262 5.1 (June 2011) and confirmed

More information

1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf

1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf 1,a) 2,b) 4,c) 3,d) 4,e) Web A Review Supporting System for Whiteboard Logging Movies Based on Notes Timeline Taniguchi Yoshihide 1,a) Horiguchi Satoshi 2,b) Inoue Akifumi 4,c) Igaki Hiroshi 3,d) Hoshi

More information

,,,,., C Java,,.,,.,., ,,.,, i

,,,,., C Java,,.,,.,., ,,.,, i 24 Development of the programming s learning tool for children be derived from maze 1130353 2013 3 1 ,,,,., C Java,,.,,.,., 1 6 1 2.,,.,, i Abstract Development of the programming s learning tool for children

More information

Vol. 48 No. 4 Apr LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for L

Vol. 48 No. 4 Apr LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for L Vol. 48 No. 4 Apr. 2007 LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for Learning to Associate LAN Construction Skills with TCP/IP

More information

22 (266) / Web PF-Web Web Web Web / Web Web PF-Web Web Web Web CGI Web Web 1 Web PF-Web Web Perl C CGI A Pipe/Filter Architecture Based Software Gener

22 (266) / Web PF-Web Web Web Web / Web Web PF-Web Web Web Web CGI Web Web 1 Web PF-Web Web Perl C CGI A Pipe/Filter Architecture Based Software Gener 22 (266) / Web PF-Web Web Web Web / Web Web PF-Web Web Web Web CGI Web Web 1 Web PF-Web Web Perl C CGI A Pipe/Filter Architecture Based Software Generator PF-Web for Constructing Web Applications. Tomohiro

More information

User's Guide

User's Guide magicolor 2300 DL 1800687-014B magicolor 2300 DL Windows TCP/IP Web URL http://www.minolta-qms.co.jp/support/userreg/index.html QMS MINOLTA-QMS magicolor MINOLTA-QMS, Inc. Minolta Peerless Systems Corporation

More information

6 2. AUTOSAR 2.1 AUTOSAR AUTOSAR ECU OSEK/VDX 3) OSEK/VDX OS AUTOSAR AUTOSAR ECU AUTOSAR 1 AUTOSAR BSW (Basic Software) (Runtime Environment) Applicat

6 2. AUTOSAR 2.1 AUTOSAR AUTOSAR ECU OSEK/VDX 3) OSEK/VDX OS AUTOSAR AUTOSAR ECU AUTOSAR 1 AUTOSAR BSW (Basic Software) (Runtime Environment) Applicat AUTOSAR 1 1, 2 2 2 AUTOSAR AUTOSAR 3 2 2 41% 29% An Extension of AUTOSAR Communication Layers for Multicore Systems Toshiyuki Ichiba, 1 Hiroaki Takada, 1, 2 Shinya Honda 2 and Ryo Kurachi 2 AUTOSAR, a

More information

TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat

TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat 1 1 2 1. TF-IDF TDF-IDF TDF-IDF. 3 18 6 Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Satoshi Date, 1 Teruaki Kitasuka, 1 Tsuyoshi Itokawa 2

More information

Vol.53 No (Mar. 2012) 1, 1,a) 1, 2 1 1, , Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a

Vol.53 No (Mar. 2012) 1, 1,a) 1, 2 1 1, , Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a 1, 1,a) 1, 2 1 1, 3 2 1 2011 6 17, 2011 12 16 Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a) Kazuki Kanamori 1, 2 Mie Nakatani 1 Hirokazu Kato 1, 3 Sanae H. Wake 2 Shogo Nishida

More information

Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Enginee

Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Enginee Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa-shi,

More information

2017 (413812)

2017 (413812) 2017 (413812) Deep Learning ( NN) 2012 Google ASIC(Application Specific Integrated Circuit: IC) 10 ASIC Deep Learning TPU(Tensor Processing Unit) NN 12 20 30 Abstract Multi-layered neural network(nn) has

More information

imai@eng.kagawa-u.ac.jp No1 No2 OS Wintel Intel x86 CPU No3 No4 8bit=2 8 =256(Byte) 16bit=2 16 =65,536(Byte)=64KB= 6 5 32bit=2 32 =4,294,967,296(Byte)=4GB= 43 64bit=2 64 =18,446,744,073,709,551,615(Byte)=16EB

More information

1_26.dvi

1_26.dvi C3PV 1,a) 2,b) 2,c) 3,d) 1,e) 2012 4 20, 2012 10 10 C3PV C3PV C3PV 1 Java C3PV 45 38 84% Programming Process Visualization for Supporting Students in Programming Exercise Hiroshi Igaki 1,a) Shun Saito

More information

12 DCT A Data-Driven Implementation of Shape Adaptive DCT

12 DCT A Data-Driven Implementation of Shape Adaptive DCT 12 DCT A Data-Driven Implementation of Shape Adaptive DCT 1010431 2001 2 5 DCT MPEG H261,H263 LSI DDMP [1]DDMP MPEG4 DDMP MPEG4 SA-DCT SA-DCT DCT SA-DCT DDMP SA-DCT MPEG4, DDMP,, SA-DCT,, ο i Abstract

More information

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System 1. (1) ( MMI ) 2. 3. MMI Personal Computer(PC) MMI PC 1 1 2 (%) (%) 100.0 95.2 100.0 80.1 2 % 31.3% 2 PC (3 ) (2) MMI 2 ( ),,,, 49,,p531-532,2005 ( ),,,,,2005,p66-p67,2005 17 Proposal of an Algorithm of

More information

Core1 FabScalar VerilogHDL Cache Cache FabScalar 1 CoreConnect[2] Wishbone[3] AMBA[4] AMBA 1 AMBA ARM L2 AMBA2.0 AMBA2.0 FabScalar AHB APB AHB AMBA2.0

Core1 FabScalar VerilogHDL Cache Cache FabScalar 1 CoreConnect[2] Wishbone[3] AMBA[4] AMBA 1 AMBA ARM L2 AMBA2.0 AMBA2.0 FabScalar AHB APB AHB AMBA2.0 AMBA 1 1 1 1 FabScalar FabScalar AMBA AMBA FutureBus Improvement of AMBA Bus Frame-work for Heterogeneos Multi-processor Seto Yusuke 1 Takahiro Sasaki 1 Kazuhiko Ohno 1 Toshio Kondo 1 Abstract: The demand

More information

(SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6

(SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6 SAD 23 (410M520) (SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6 Abstract In recent years, the high definition of video image has made

More information

IPSJ SIG Technical Report Vol.2016-ARC-221 No /8/9 GC 1 1 GC GC GC GC DalvikVM GC 12.4% 5.7% 1. Garbage Collection: GC GC Java GC GC GC GC Dalv

IPSJ SIG Technical Report Vol.2016-ARC-221 No /8/9 GC 1 1 GC GC GC GC DalvikVM GC 12.4% 5.7% 1. Garbage Collection: GC GC Java GC GC GC GC Dalv GC 1 1 GC GC GC GC DalvikVM GC 12.4% 5.7% 1. Garbage Collection: GC GC Java GC GC GC GC DalvikVM[1] GC 1 Nagoya Institute of Technology GC GC 2. GC GC 2.1 GC 1 c 2016 Information Processing Society of

More information

Microsoft Word - PowerEdge_M-Series_Competitive_Power_Study_-_August_2010[1]_j.docx

Microsoft Word - PowerEdge_M-Series_Competitive_Power_Study_-_August_2010[1]_j.docx : John Beckett Robert Bradfield 2010 Dell Inc. 2010 All rights reserved. Dell DELL DELL PowerEdge Dell Inc. Microsoft Windows Windows Server Microsoft Corporation SPEC SPECpower_ssj Standard Performance

More information

Tf dvi

Tf dvi /Opinion Kawaii as an Affective Value Michiko OHKURA Abstract In the 21 st century, the affective/kansei values of industrial products are considered very important. However, since not many studies have

More information

Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m

Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF   a m Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki

More information

FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT IPC FabCache 0.076%

FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT IPC FabCache 0.076% 2013 (409812) FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT 6 1000 IPC FabCache 0.076% Abstract Single-ISA heterogeneous multi-core processors are increasing importance in the processor architecture.

More information

名称未設定

名称未設定 Parallels Desktop 4.0 for Mac ( 4.0.3810 ) Read Me : 1. Parallels Desktop 2. 3. 4. 5. 6. Parallels Desktop 7. Parallels Desktop 4.0 for Mac 8. Parallels Desktop 9. Parallels Desktop 10. 11. 12. 1. Parallels

More information

fiš„v5.dvi

fiš„v5.dvi (2001) 49 2 293 303 VRML 1 2 3 2001 4 12 2001 10 16 Web Java VRML (Virtual Reality Modeling Language) VRML Web VRML VRML VRML VRML Web VRML VRML, 3D 1. WWW (World Wide Web) WWW Mittag (2000) Web CGI Java

More information

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple 1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa

More information

知能と情報, Vol.30, No.5, pp

知能と情報, Vol.30, No.5, pp 1, Adobe Illustrator Photoshop [1] [2] [3] Initital Values Assignment of Parameters Using Onomatopoieas for Interactive Design Tool Tsuyoshi NAKAMURA, Yuki SAWAMURA, Masayoshi KANOH, and Koji YAMADA Graduate

More information

udc-2.dvi

udc-2.dvi 13 0.5 2 0.5 2 1 15 2001 16 2009 12 18 14 No.39, 2010 8 2009b 2009a Web Web Q&A 2006 2007a20082009 2007b200720082009 20072008 2009 2009 15 1 2 2 2.1 18 21 1 4 2 3 1(a) 1(b) 1(c) 1(d) 1) 18 16 17 21 10

More information

IPSJ SIG Technical Report Vol.2017-ARC-225 No.12 Vol.2017-SLDM-179 No.12 Vol.2017-EMB-44 No /3/9 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS

IPSJ SIG Technical Report Vol.2017-ARC-225 No.12 Vol.2017-SLDM-179 No.12 Vol.2017-EMB-44 No /3/9 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS RTOS OS Lightweight partitioning architecture for automotive systems Suzuki Takehito 1 Honda Shinya 1 Abstract: Partitioning using protection RTOS has high

More information

Shonan Institute of Technology MEMOIRS OF SHONAN INSTITUTE OF TECHNOLOGY Vol. 41, No. 1, 2007 Ships1 * ** ** ** Development of a Small-Mid Range Paral

Shonan Institute of Technology MEMOIRS OF SHONAN INSTITUTE OF TECHNOLOGY Vol. 41, No. 1, 2007 Ships1 * ** ** ** Development of a Small-Mid Range Paral MEMOIRS OF SHONAN INSTITUTE OF TECHNOLOGY Vol. 41, No. 1, 2007 Ships1 * ** ** ** Development of a Small-Mid Range Parallel Computer Ships1 Makoto OYA*, Hiroto MATSUBARA**, Kazuyoshi SAKURAI** and Yu KATO**

More information

1 (bit ) ( ) PC WS CPU IEEE754 standard ( 24bit) ( 53bit)

1 (bit ) ( ) PC WS CPU IEEE754 standard ( 24bit) ( 53bit) GNU MP BNCpack tkouya@cs.sist.ac.jp 2002 9 20 ( ) Linux Conference 2002 1 1 (bit ) ( ) PC WS CPU IEEE754 standard ( 24bit) ( 53bit) 10 2 2 3 4 5768:9:; = %? @BADCEGFH-I:JLKNMNOQP R )TSVU!" # %$ & " #

More information

16 2020 H.264/AVC 2 H.265/HEVC 1 H.265 JCT-VC HM(HEVC Test Model) HM 5 5 SIMD HM 33%

16 2020 H.264/AVC 2 H.265/HEVC 1 H.265 JCT-VC HM(HEVC Test Model) HM 5 5 SIMD HM 33% H.265/HEVC 2014 (410808) 16 2020 H.264/AVC 2 H.265/HEVC 1 H.265 JCT-VC HM(HEVC Test Model) HM 5 5 SIMD HM 33% Abstract In recent years, high resolution video technology has been developed in order to start

More information

0801297,繊維学会ファイバ11月号/報文-01-青山

0801297,繊維学会ファイバ11月号/報文-01-青山 Faculty of Life Environment, Kinjogakuin University, Moriyama-ku, Nagoya 463-8521, Japan Faculty of Home Economics, Japan Women s University, Bunkyo-ku, Tokyo 112-8681, Japan AStudy on Easing by a Variable

More information

2005 1

2005 1 25 SPARCstation 2 CPU central processor unit 25 2 25 3 25 4 DRAM 25 5 25 6 : DRAM 25 7 2 25 8 2 25 9 2 bit: binary digit V 2V 25 2 2 2 2 4 5 2 6 3 7 25 A B C A B C A B C A B C A C A B 3 25 2 25 3 Co Cin

More information

ストリーミング SIMD 拡張命令2 (SSE2) を使用した、倍精度浮動小数点ベクトルの最大/最小要素とそのインデックスの検出

ストリーミング SIMD 拡張命令2 (SSE2) を使用した、倍精度浮動小数点ベクトルの最大/最小要素とそのインデックスの検出 SIMD 2(SSE2) / 2.0 2000 7 : 248602J-001 01/10/30 1 305-8603 115 Fax: 0120-47-8832 * Copyright Intel Corporation 1999-2001 01/10/30 2 1...5 2...5 2.1...5 2.1.1...5 2.1.2...8 3...9 3.1...9 3.2...9 4...9

More information

スパコンに通じる並列プログラミングの基礎

スパコンに通じる並列プログラミングの基礎 2018.06.04 2018.06.04 1 / 62 2018.06.04 2 / 62 Windows, Mac Unix 0444-J 2018.06.04 3 / 62 Part I Unix GUI CUI: Unix, Windows, Mac OS Part II 2018.06.04 4 / 62 0444-J ( : ) 6 4 ( ) 6 5 * 6 19 SX-ACE * 6

More information

1 DHT Fig. 1 Example of DHT 2 Successor Fig. 2 Example of Successor 2.1 Distributed Hash Table key key value O(1) DHT DHT 1 DHT 1 ID key ID IP value D

1 DHT Fig. 1 Example of DHT 2 Successor Fig. 2 Example of Successor 2.1 Distributed Hash Table key key value O(1) DHT DHT 1 DHT 1 ID key ID IP value D P2P 1,a) 1 1 Peer-to-Peer P2P P2P P2P Chord P2P Chord Consideration for Efficient Construction of Distributed Hash Trees on P2P Systems Taihei Higuchi 1,a) Masakazu Soshi 1 Tomoyuki Asaeda 1 Abstract:

More information

23 Study on Generation of Sudoku Problems with Fewer Clues

23 Study on Generation of Sudoku Problems with Fewer Clues 23 Study on Generation of Sudoku Problems with Fewer Clues 1120254 2012 3 1 9 9 21 18 i Abstract Study on Generation of Sudoku Problems with Fewer Clues Norimasa NASU Sudoku is puzzle a kind of pencil

More information

Vol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe

Vol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe Vol. 42 No. SIG 8(TOD 10) July 2001 1 2 3 4 HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Speed Networks Yutaka Kidawara, 1 Tomoaki Kawaguchi, 2

More information

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information Vol.54 No.7 1937 1950 (July 2013) 1,a) 2012 11 1, 2013 4 5 1 Similar Sounds Sentences Generator Based on Morphological Analysis Manner and Low Class Words Masaaki Kanakubo 1,a) Received: November 1, 2012,

More information

Agenda Intro & history LLVM overview Demo Pros & Cons LLVM Intermediate Language LLVM tools

Agenda Intro & history LLVM overview Demo Pros & Cons LLVM Intermediate Language LLVM tools LLVM Intro Syoyo Fujita syoyo@lucillerender.org Agenda Intro & history LLVM overview Demo Pros & Cons LLVM Intermediate Language LLVM tools LLVM , Lightweight Language No! No! No! LLVM , Virtual Machine

More information

58 10

58 10 57 Multi-channel MAC Protocol with Multi-busytone in Ad-hoc Networks Masatoshi Fukushima*, Ushio Yamamoto* and Yoshikuni Onozato* Abstract Multi-channel MAC protocols for wireless ad hoc networks have

More information

国土技術政策総合研究所 研究資料

国土技術政策総合研究所 研究資料 ISSN TECHNICAL NOTE of National Institute for Land and Infrastructure Management No255 September 2005 A Result of Investigation into the Actual Conditions of Japanese Ports Pavement and Cargo Handling

More information

Vol. 43 No. 2 Feb. 2002,, MIDI A Probabilistic-model-based Quantization Method for Estimating the Position of Onset Time in a Score Masatoshi Hamanaka

Vol. 43 No. 2 Feb. 2002,, MIDI A Probabilistic-model-based Quantization Method for Estimating the Position of Onset Time in a Score Masatoshi Hamanaka Vol. 43 No. 2 Feb. 2002,, MIDI A Probabilistic-model-based Quantization Method for Estimating the Position of Onset Time in a Score Masatoshi Hamanaka, Masataka Goto,, Hideki Asoh and Nobuyuki Otsu, This

More information

Table 1. Reluctance equalization design. Fig. 2. Voltage vector of LSynRM. Fig. 4. Analytical model. Table 2. Specifications of analytical models. Fig

Table 1. Reluctance equalization design. Fig. 2. Voltage vector of LSynRM. Fig. 4. Analytical model. Table 2. Specifications of analytical models. Fig Mover Design and Performance Analysis of Linear Synchronous Reluctance Motor with Multi-flux Barrier Masayuki Sanada, Member, Mitsutoshi Asano, Student Member, Shigeo Morimoto, Member, Yoji Takeda, Member

More information

TCP/IP IEEE Bluetooth LAN TCP TCP BEC FEC M T M R M T 2. 2 [5] AODV [4]DSR [3] 1 MS 100m 5 /100m 2 MD 2 c 2009 Information Processing Society of

TCP/IP IEEE Bluetooth LAN TCP TCP BEC FEC M T M R M T 2. 2 [5] AODV [4]DSR [3] 1 MS 100m 5 /100m 2 MD 2 c 2009 Information Processing Society of IEEE802.11 [1]Bluetooth [2] 1 1 (1) [6] Ack (Ack) BEC FEC (BEC) BEC FEC 100 20 BEC FEC 6.19% 14.1% High Throughput and Highly Reliable Transmission in MANET Masaaki Kosugi 1 and Hiroaki Higaki 1 1. LAN

More information

2 ( ) i

2 ( ) i 25 Study on Rating System in Multi-player Games with Imperfect Information 1165069 2014 2 28 2 ( ) i ii Abstract Study on Rating System in Multi-player Games with Imperfect Information Shigehiko MORITA

More information

Oracle_for_SAP :29 PM ページ 2 2 3

Oracle_for_SAP :29 PM ページ 2 2 3 Oracle_for_SAP のコピー 04.5.28 0:55 PM ページ 1 Oracle for SAP Release Matrix Oracle for SAP Release Matrix SAP R/3 Version 3.1I, 4.0B, 4.5B, 4.6B: 8.1.7 32-bit: Intel NT/Windows2000/XP, Intel Linux, IBM AIX,

More information

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst 情報処理学会インタラクション 2015 IPSJ Interaction 2015 15INT014 2015/3/7 1,a) 1,b) 1,c) Design and Implementation of a Piano Learning Support System Considering Motivation Fukuya Yuto 1,a) Takegawa Yoshinari 1,b) Yanagi

More information

ito.dvi

ito.dvi 1 2 1006 214 542 160 120 160 1 1916 49 1710 55 1716 1 2 1995 1 2 3 4 2 3 1950 1973 1969 1989 1 4 3 3.1 3.1.1 1989 2 3.1.2 214 542 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

More information

<95DB8C9288E397C389C88A E696E6462>

<95DB8C9288E397C389C88A E696E6462> 2011 Vol.60 No.2 p.138 147 Performance of the Japanese long-term care benefit: An International comparison based on OECD health data Mie MORIKAWA[1] Takako TSUTSUI[2] [1]National Institute of Public Health,

More information

LAN LAN LAN LAN LAN LAN,, i

LAN LAN LAN LAN LAN LAN,, i 22 A secure wireless communication system using virtualization technologies 1115139 2011 3 4 LAN LAN LAN LAN LAN LAN,, i Abstract A secure wireless communication system using virtualization technologies

More information

国土技術政策総合研究所 研究資料

国土技術政策総合研究所 研究資料 ISSN TECHNICAL NOTE of National Institute for Land and Infrastructure Management No256 September 2005 Experimental Study on Seismic Behavior of Seawalls for Controlled Waste Disposal Shingo KANO, Katsuya

More information

Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Packインストレーション・ガイド リリース2.2

Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Packインストレーション・ガイド リリース2.2 Oracle Enterprise Manager Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Pack 2.2 2000 11 : J02263-01 Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Pack 2.2

More information

2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC

2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI

More information

4.1 % 7.5 %

4.1 % 7.5 % 2018 (412837) 4.1 % 7.5 % Abstract Recently, various methods for improving computial performance have been proposed. One of these various methods is Multi-core. Multi-core can execute processes in parallel

More information

2016 10 31 1. 1.1 20 1 1993 20 2 2 1 industrial society 2 2 169 2014 3 1.2 4 5 6 3 1.3 4 5 1973 6 170 7 8 9 7 ISO/IEC 9126 11 8 1 9 ABS ABS ABS ABS 171 2. 2.1 1960 10 11 12 13 10 1964 IBM S/360 11 16 FORTRAN

More information

2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )

2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( ) 1,a) 2 4 WC C WC C Grading Student programs for visualizing progress in classroom Naito Hiroshi 1,a) Saito Takashi 2 Abstract: To grade student programs in Computer-Aided Assessment system, we propose

More information

Vol. 44 No. SIG 12(TOD 19) Sep MF MF MF Content Protection Mechanism Based on Media Framework and an Implementation for Autonomous Information C

Vol. 44 No. SIG 12(TOD 19) Sep MF MF MF Content Protection Mechanism Based on Media Framework and an Implementation for Autonomous Information C Vol. 44 No. SIG 12(TOD 19) Sep. 2003 MF MF MF Content Protection Mechanism Based on Media Framework and an Implementation for Autonomous Information Container Takehito Abe, Noburou Taniguchi, Kunihiro

More information

自然言語処理16_2_45

自然言語処理16_2_45 FileMaker Pro E-learning GUI Phrase Reading Cloze. E-learning Language Processing Technology and Educational Material Development Generating English Educational Material using a Database Software Kenichi

More information

2 22006 2 e-learning e e 2003 1 4 e e e-learning 2 Web e-leaning 2004 2005 2006 e 4 GP 4 e-learning e-learning e-learning e LMS LMS Internet Navigware

2 22006 2 e-learning e e 2003 1 4 e e e-learning 2 Web e-leaning 2004 2005 2006 e 4 GP 4 e-learning e-learning e-learning e LMS LMS Internet Navigware 2 2 Journal of Multimedia Aided Education Research 2006, Vol. 2, No. 2, 19 e 1 1 2 2 1 1 GP e 2004 e-learning 2004 e-learning 2005 e-learning e-learning e-learning e-learning 2004 e-learning HuWeb 2005

More information

17 The Analysis of Hand-Writing datas for pen-input character boxes

17 The Analysis of Hand-Writing datas for pen-input character boxes 17 The Analysis of Hand-Writing datas for pen-input character boxes 1060362 2006 3 10 PDA(Personal Digital Assistants) [1] 1.20 x 1.44 cm 1.44 x 1.44 cm [1] 8 i Abstract The Analysis of Hand-Writing datas

More information

3_39.dvi

3_39.dvi Vol. 49 No. 3 Mar. 2008 Web 1 2 PC Web Web Windows Web Access Watchdog Systems for Children Protection Tatsumi Ueda 1 and Yoshiaki Takai 2 For today s children, the Internet is one of the most familiar

More information

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting

More information

A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member

A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member (University of Tsukuba), Yasuharu Ohsawa, Member (Kobe

More information

Dolphin 6110 Quick Start Guide

Dolphin 6110 Quick Start Guide Dolphin TM 6110 モバイルコンピュータ クイックスタートガイド Dolphin 6110 モバイルコンピュータ ªªªªª v t ª ª ªªª v Dolphin 6110 ªª ª ªªªªªª ( ) ª ª ªªªªª ªªª (3.7 V ªª ª ª ) AC «KSAS0100500200D5 :100-240V AC 50/60Hz 0.4 A : 5 V DC 2.0

More information

Web Basic Web SAS-2 Web SAS-2 i

Web Basic Web SAS-2 Web SAS-2 i 19 Development of moving image delivery system for elementary school 1080337 2008 3 10 Web Basic Web SAS-2 Web SAS-2 i Abstract Development of moving image delivery system for elementary school Ayuko INOUE

More information

IEC :2014 (ed. 4) の概要 (ed. 2)

IEC :2014 (ed. 4) の概要 (ed. 2) IEC 60601-1-2:2014 (ed. 4) (ed. 2) e 2018 4 2 1 1 2 / 1 2.1............... 2 2.2............... 3 2.3.................. 4 3 6 4 6 4.1.................. 6 4.1.1............... 7 4.1.2....... 7 4.1.3............

More information

52-2.indb

52-2.indb Jpn. J. Health Phys., 52 (2) 55 60 (2017) DOI: 10.5453/jhps.52.55 * 1 * 2 * 2 * 3 * 3 2016 10 28 2017 3 8 Enhancement of Knowledge on Radiation Risk Yukihiko KASAI,* 1 Hiromi KUDO,* 2 Masahiro HOSODA,*

More information

Vol. 42 No MUC-6 6) 90% 2) MUC-6 MET-1 7),8) 7 90% 1 MUC IREX-NE 9) 10),11) 1) MUCMET 12) IREX-NE 13) ARPA 1987 MUC 1992 TREC IREX-N

Vol. 42 No MUC-6 6) 90% 2) MUC-6 MET-1 7),8) 7 90% 1 MUC IREX-NE 9) 10),11) 1) MUCMET 12) IREX-NE 13) ARPA 1987 MUC 1992 TREC IREX-N Vol. 42 No. 6 June 2001 IREX-NE F 83.86 A Japanese Named Entity Extraction System Based on Building a Large-scale and High-quality Dictionary and Pattern-matching Rules Yoshikazu Takemoto, Toshikazu Fukushima

More information

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.

More information

24 Depth scaling of binocular stereopsis by observer s own movements

24 Depth scaling of binocular stereopsis by observer s own movements 24 Depth scaling of binocular stereopsis by observer s own movements 1130313 2013 3 1 3D 3D 3D 2 2 i Abstract Depth scaling of binocular stereopsis by observer s own movements It will become more usual

More information