/ FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i

Size: px
Start display at page:

Download "/ FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i"

Transcription

1 22 / FPGA A Study of FPGA Platform for Architecture Evaluation of a Data-Driven/Control-Driven Processor

2 / FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i

3 Abstract A Study of FPGA Platform for Architecture Evaluation of a Data-Driven/Control-Driven Processor Hajime OOISO To improve the performance of LSI s only by increasing clock frequency cannot meet to market requirements due to increasing power consumption. Now, in order to further improve the processing performance, LSI must introduce parallel processing scheme achieving higher power-performance efficiency. Data-driven processor (DDP) can extract data parallelism inherent in the program and execute it in parallel[1]. In terms of instruction execution control scheme, control-driven processor (CDP) and DDP are located both ends. If we can assess the various trade-offs through the comparison of two kinds of architectures, there is potentiality of investigating more excellent performance architecture and more optimal LSI design. When comparing diverse architectures, flexible modification of common parameters such as data width and instruction memory should be allowed. In addition, it is important to easily evaluate target architectures in a short time. This paper proposes circuit description methods to enable easy modifications of high-speed FPGA platform. A pico-processor (pp)[2] and a simple DDP based on self-timed pipeline (STP) are implemented. In the implementation, by editing the macro configuration file, data field length and width can be changed and the additional circuit can be easily add or remove. As a result, performance-power of the DDP is 1.27 times better than the pp. key words Data driven processor, Control driven processor, self-timed pipelined ii

4 1 1 2 / STP HDL HDL iii

5 iv

6 CDP STP PS PS MM v

7 2.1 pp DDP CDP DDP CDP/DDP vi

8 1 1 CDP CDP DDP) CDP ( 1

9 DDP Dmem Dmem DDP MM) MM MM RAM MM MM MM Dmem 5 2 DDP/CDP 3 HDL HDL 4 Alterra CycloneII QuartusII 5 / FPGA 2

10 3

11 2 / CDP DDP CDP DDP CPD

12 2.1 シングルサイクル 方 式 CLK マルチサイクル 方 式 CLK IF IF : : Instruction fetch frtch ID ID :: Instruction decode EX EX :: Execution Exexute MEM MEM :: Memory access WB WB : : Write Write back back IF + ID + EX + MEM + WB IF ID EX MEM WB IF ID EX MEM WB IF ID EX MEM WB IF + ID + EX + MEM + WB IF ID EX MEM WB IF ID EX MEM WB CDP PicoProcessor(pP) [2] pp CDP DDP pp 2.2 pp Program counter(pc) Instruction memory(imem) PC 5

13 CDP Stack PC Stack pointer(sp) Stack push Interrupt register(int Reg) PC Register(Reg) Arithmetic Logic Unit(ALU) CC 6

14 2.2 Data memory(dmem) decoder PC PC IMem decoder MUX Stack Reg ALU Dmem Reg Dmem IMem STP STP ( ) (Send ) Ack ) ( STP DDP Data Latch(DL) Logic DL C C C Reset = 0, Send = 7

15 2.2 STAGE Data Latch Logic Data Latch Logic Data Latch CK0 CK1 CK2 Send0 Ack0 C0 Send1 Ack1 C1 Send2 Ack2 C2 Send3 Ack3 reset 2.3 STP 1, Ack = 1, CK = 0 1. C0 C1 Send1 DL0 2. Send1 C1 Ack1 C0 3. Ack1 C0 Send Send Ack Merge(M) 8

16 2.2 M CS MM ALU B PS M : Merge CS : Constasnt Storage MM : Matchig Memory ALU : Aritching Logical Unit PS : Program Storage B : Branch 2.4 Constant Storage Constant Storage(CS) CS CS Matching Memory Matching Memory MM(Matching Memory) Arithmetic Logic Unit Arithmetic Logic Unit(ALU) Program Storage Program Storage(PS) 9

17 2.3 ALU Branch Branch(B) STP 2.3 DDP CDP pp pp pp Instruction Operation Function code ADD SUB AND CDP IMem Function code DDP Function code DDP MM 2 2 Function code Function code Function code DDP 2 DDP

18 DDP Instruction Operation R/L Function code Left opc Right opc ADD 0/ SUB 0/ AND 0/ DDP bit L/R) pp Function code 1bit(0) 6bit 6bit Function code 3bit bit Left opc 3bit Right opc L/R Function code Left opc Right opc MM Left opc Right opc bit DDP DDP CDP 2.4 CDP 1 pp STP DDP DDP MM MM CDP/DDP 11

19 2.4 12

20 HDL FPGA 13

21 3.3 代 入 型 プログラム 計 算 グラフ 型 プログラム カスタム 仕 様 (ex.データ 幅 IM/PS 容 量 ) CDP DDP CDP メタHDL 記 述 DDP メタHDL 記 述 合 成 + 配 置 配 線 FPGA 評 価 結 果 (ex. 回 路 規 模 消 費 電 力 処 理 性 能 ) CDP : 制 御 駆 動 プロセッサ DDP : データ 駆 動 プロセッサ IM : 命 令 メモリ PS : プログラムストレージ 3.1 subtype subtype CDP/DDP HDL HDL HDL HDL 14

22 3.3 cp : color : dest : L/R : con : opc : c : data : color dest c data DL1 コピー カラー 行 き 先 左 右 情 報 即 値 演 算 オペレーションコード キャリーフラグ データ PS DL : データラッチ PS : プログラムストレージ color dest L/R con opc c data データパス subtype SPIN is std_logic_vector(18 downto 0) subtype SPOUT is std_logic_vector(23 downto 0) DL2 3.2 PS HDL PS dest dest,l/r,con,opc color,c,data 3.1 PS dest 1. DL 15

23 3.3 DL : データラッチ PS : プログラムストレージ color DL1 color DL1 dest dest DL2 dest c data DL2 DL3 DL4 cp : コピー color : カラー dest : 行 き 先 L/R : 左 右 情 報 con : 即 値 演 算 opc : オペレーションコード c : キャリーフラグ data : データ PS L/R con opc L/R con opc c data データパス subtype color is std_logic_vector(2 downto 0) subtype dest is std_logic_vector(6 downto 0) subtype L/R is std_logic subtype con is std_logic subtype opc is std_logic_vector(2 downto 0) subtype c is std_logic subtype data is std_logic_vector(7 downto0) DL5 DL6 DL6 DL3 DL4 3.3 PS PS HDL PS HDL

24 3.3 CX2 : コピー 機 能 付 きC 素 子 CEX : 消 去 機 能 付 きC 素 子 MM : マッチングメモリ Up-Down Counter : アドレスカウンタ DL : データラッチ Dmem : データメモリ マクロ 設 定 ファイル 0 : Dmem 削 除 1 : Dmem 追 加 削 除 を 行 う ために 必 要 な ブロック DL CX2 1 0 MUX MUX2 feb MUX3 cpy match down dmem_empty up Dmem MM mm_full addr cp Up-Down Counter DL CEX Dmemを 追 加 するのに 必 要 な ブロック 拡 張 前 のMM ステージの ブロック 3.4 MM MM MM MM MM CDP MM MM Dmem Dmem 3.4 MM Dmem MM DL MM CEX CEX 17

25 3.3 C MM Dmem CX2 MUX1 Dmem Up-Down Counter CX2 C 2 C MUX1 Dmem MM Dmem Dmem Ram Up-Down Counter Up-down Counter Dmem LIFO MUX2 MUX3 MUX2 MUX1 MUX1 feb Dmem 1 0 MUX2 feb 0 1 feb 0 0 MUX3 CX2 0 MUX2 MUX3 MUX1 CX2 Dmem Dmem 0 MUX1 CX2 0 MUX1 CX Dmem Dmem 18

26 CDP/DDP 19

27 4 4.1 DDP/CDP 4.2 Altera CycloneII P/CDP CDP Reg Dmem 8 bit 8 8 bit bit CDP [2] 8bit CDP DDP 8bit STP MM 32 DDP 20

28 DDP MM Dmem 7 8 bit bit DDP ALU ALU CDP DDP Reg Dmem CDP QuartusII PowerPlay Power Analyzor (LE) LE CDP 86% DDP 32%. DDP. CDP 25MHz DDP 102MHz 21

29 CDP/DDP CDP DDP LE 86% 32% CLK 25.54MHz 102MHz 50.32mW mW 0.507MHz/mW 0.648MHz/mW. DDP CDP.. CDP 0.507MHz/mW DDP 0.648MHz/mW DDP 27%. DDP.STP. 22

30 5 1 CDP/DDP CDP DDP MM MM MM FPGA 2 DDP/CDP 3 23

31 HDL HDL 4 Alterra CycloneII QuartusII CDP 0.507MHz/mW DDP 0.648MHz/mW DDP 27% CDP/DDP DDP FPGA CDP DDP CDP 2 DDP pp 24

32 , 25

33 [1] H. Terada, et al, DDMP s: Self-Timed Super-Pipelined Data-Driven Multimedia Processors, Proceedings of the IEEE, 87(2), pp , Feb [2] D.A.Patterson and J.F.Hennessy, Computer Organization and Design, Morgan Kaufmann, p.912,

BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M Packet/sec LSI 5 1 BIST i

BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M Packet/sec LSI 5 1 BIST i 20 BIST LSI LSI Implementation of Self-Timed Ultra High Speed BIST Circuit 1090384 2009 3 5 BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M

More information

Microsoft PowerPoint - NxLecture ppt [互換モード]

Microsoft PowerPoint - NxLecture ppt [互換モード] 011-05-19 011 年前学期 TOKYO TECH 命令処理のための基本的な 5 つのステップ 計算機アーキテクチャ第一 (E) 5. プロセッサの動作原理と議論 吉瀬謙二計算工学専攻 kise_at_cs.titech.ac.jp W61 講義室木曜日 13:0-1:50 IF(Instruction Fetch) メモリから命令をフェッチする. ID(Instruction Decode)

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

Microsoft PowerPoint - NxLec-2010-11-01.ppt

Microsoft PowerPoint - NxLec-2010-11-01.ppt 2010 年 後 学 期 レポート 問 題 計 算 機 アーキテクチャ 第 二 (O) 4. シングルサイクルプロセッサの 実 装 とパイプライン 処 理 大 学 院 情 報 理 工 学 研 究 科 計 算 工 学 専 攻 吉 瀬 謙 二 kise _at_ cs.titech.ac.jp S321 講 義 室 月 曜 日 5,6 時 限 13:20-14:50 1 1. 1から100までの 加 算

More information

.,. 0. (MSB). =2, =1/2.,. MSB LSB, LSB MSB. MSB 0 LSB 0 0 P

.,. 0. (MSB). =2, =1/2.,. MSB LSB, LSB MSB. MSB 0 LSB 0 0 P , 0 (MSB) =2, =1/2, MSB LSB, LSB MSB MSB 0 LSB 0 0 P61 231 1 (100, 100 3 ) 2 10 0 1 1 0 0 1 0 0 100 (64+32+4) 2 10 100 2 5, ( ), & 3 (hardware), (software) (firmware), hardware, software 4 wired logic

More information

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 1170288 2017 2 28 Docker,.,,.,,.,,.,. Docker.,..,., Web, Web.,.,.,, CPU,,. i ., OS..,, OS, VirtualBox,.,

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

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

3 SIMPLE ver 3.2: SIMPLE (SIxteen-bit MicroProcessor for Laboratory Experiment) 1 16 SIMPLE SIMPLE 2 SIMPLE 2.1 SIMPLE (main memo

3 SIMPLE ver 3.2: SIMPLE (SIxteen-bit MicroProcessor for Laboratory Experiment) 1 16 SIMPLE SIMPLE 2 SIMPLE 2.1 SIMPLE (main memo 3 SIMPLE ver 3.2: 20190404 1 3 SIMPLE (SIxteen-bit MicroProcessor for Laboratory Experiment) 1 16 SIMPLE SIMPLE 2 SIMPLE 2.1 SIMPLE 1 16 16 (main memory) 16 64KW a (C )*(a) (register) 8 r[0], r[1],...,

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

「FPGAを用いたプロセッサ検証システムの製作」

「FPGAを用いたプロセッサ検証システムの製作」 FPGA 2210010149-5 2005 2 21 RISC Verilog-HDL FPGA (celoxica RC100 ) LSI LSI HDL CAD HDL 3 HDL FPGA MPU i 1. 1 2. 3 2.1 HDL FPGA 3 2.2 5 2.3 6 2.3.1 FPGA 6 2.3.2 Flash Memory 6 2.3.3 Flash Memory 7 2.3.4

More information

PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i

PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i 21 The private mailers synchronization operation for plural terminals 1125083 2010 3 1 PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i Abstract The private mailers synchronization operation for plural terminals

More information

16.16%

16.16% 2017 (411824) 16.16% Abstract Multi-core processor is common technique for high computing performance. In many multi-core processor architectures, all processors share L2 and last level cache memory. Thus,

More information

7,, i

7,, i 23 Research of the authentication method on the two dimensional code 1145111 2012 2 13 7,, i Abstract Research of the authentication method on the two dimensional code Karita Koichiro Recently, the two

More information

if clear = 1 then Q <= " "; elsif we = 1 then Q <= D; end rtl; regs.vhdl clk 0 1 rst clear we Write Enable we 1 we 0 if clk 1 Q if rst =

if clear = 1 then Q <=  ; elsif we = 1 then Q <= D; end rtl; regs.vhdl clk 0 1 rst clear we Write Enable we 1 we 0 if clk 1 Q if rst = VHDL 2 1 VHDL 1 VHDL FPGA VHDL 2 HDL VHDL 2.1 D 1 library ieee; use ieee.std_logic_1164.all; use ieee.std_logic_unsigned.all; regs.vhdl entity regs is clk, rst : in std_logic; clear : in std_logic; we

More information

21 Quantum calculator simulator based on reversible operation

21 Quantum calculator simulator based on reversible operation 21 Quantum calculator simulator based on reversible operation 1100366 2010 3 1 i Abstract Quantum calculator simulator based on reversible operation Ryota Yoshimura Quantum computation is the novel computational

More information

23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones

23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones 23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones 1120220 2012 3 1 iphone..,. 2 (, ) 3 (,, ),,,.,..,. HCI i Abstract A Comparison of Flick and Ring Document Scrolling in

More information

Microsoft PowerPoint - Lec pptx

Microsoft PowerPoint - Lec pptx Course number: CSC.T341 コンピュータ論理設計 Computer Logic Design 10. シングルサイクルプロセッサのデータパス Datapath for Single Cycle Processor 吉瀬謙二情報工学系 Kenji Kise, Department of Computer Science kise _at_ c.titech.ac.jp www.arch.cs.titech.ac.jp/lecture/cld/

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

n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i

n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i 15 Comparison and Evaluation of Dynamic Programming and Genetic Algorithm for a Knapsack Problem 1040277 2004 2 25 n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i Abstract Comparison and

More information

プロセッサ・アーキテクチャ

プロセッサ・アーキテクチャ 2. NII51002-8.0.0 Nios II Nios II Nios II 2-3 2-4 2-4 2-6 2-7 2-9 I/O 2-18 JTAG Nios II ISA ISA Nios II Nios II Nios II 2 1 Nios II Altera Corporation 2 1 2 1. Nios II Nios II Processor Core JTAG interface

More information

1 1 2 2 2-1 2 2-2 4 2-3 11 2-4 12 2-5 14 3 16 3-1 16 3-2 18 3-3 22 4 35 4-1 VHDL 35 4-2 VHDL 37 4-3 VHDL 37 4-3-1 37 4-3-2 42 i

1 1 2 2 2-1 2 2-2 4 2-3 11 2-4 12 2-5 14 3 16 3-1 16 3-2 18 3-3 22 4 35 4-1 VHDL 35 4-2 VHDL 37 4-3 VHDL 37 4-3-1 37 4-3-2 42 i 1030195 15 2 10 1 1 2 2 2-1 2 2-2 4 2-3 11 2-4 12 2-5 14 3 16 3-1 16 3-2 18 3-3 22 4 35 4-1 VHDL 35 4-2 VHDL 37 4-3 VHDL 37 4-3-1 37 4-3-2 42 i 4-3-3 47 5 52 53 54 55 ii 1 VHDL IC VHDL 5 2 3 IC 4 5 1 2

More information

paper.dvi

paper.dvi 28 Confined Decoding System for Medical Data Distributed by Secret Sharing Scheme and Its Security Evaluation 1195046 2017 3 6 DMAT i Abstract Confined Decoding System for Medical Data Distributed by Secret

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

24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals

24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals 24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals 1155064 2013 2 5 FFT HetNet (FFT) FFT. (STP) FFT STP FFT FFT FFT FPGA(Altera stratixii) HetNet FFT STP i Abstract Self-Timeed

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

単位、情報量、デジタルデータ、CPUと高速化 ~ICT用語集~

単位、情報量、デジタルデータ、CPUと高速化  ~ICT用語集~ CPU ICT mizutani@ic.daito.ac.jp 2014 SI: Systèm International d Unités SI SI 10 1 da 10 1 d 10 2 h 10 2 c 10 3 k 10 3 m 10 6 M 10 6 µ 10 9 G 10 9 n 10 12 T 10 12 p 10 15 P 10 15 f 10 18 E 10 18 a 10 21

More information

6. パイプライン制御

6. パイプライン制御 6. パイプライン制御 パイプライン (Pipelining) 命令のスループットをあげて性能を向上する Program eection order Time (in instrctions) lw $, ($) fetch 2 4 6 8 2 4 6 8 Data access lw $2, 2($) 8 ns fetch Data access lw $3, 3($) Program eection

More information

14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display

14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display 14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display 1030281 2003 2 12 CRT [1] CRT. CRT von Kries PC CRT CRT 9300K CRT 6500K CRT CRT 9300K x y S L-2M x y von Kries S L-2M

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

Kochi University of Technology Aca Title 省 電 力 セルフタイム 回 路 に 関 する 研 究 Author(s) 岩 田, 誠, 宮 城, 桂, 三 宮, 秀 次, 西 川, 博 昭 Citation 高 知 工 科 大 学 紀 要, 10(1): 95-102 Date of 2013-07-20 issue URL http://hdl.handle.net/10173/1082

More information

Web Web Web Web Web, i

Web Web Web Web Web, i 22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity

More information

26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1

26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1 FPGA 272 11 05340 26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1 FPGA skewed L2 FPGA skewed Linux

More information

23 The Study of support narrowing down goods on electronic commerce sites

23 The Study of support narrowing down goods on electronic commerce sites 23 The Study of support narrowing down goods on electronic commerce sites 1120256 2012 3 15 i Abstract The Study of support narrowing down goods on electronic commerce sites Masaki HASHIMURA Recently,

More information

I117 II I117 PROGRAMMING PRACTICE II DEBUG Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara

I117 II I117 PROGRAMMING PRACTICE II DEBUG Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara I117 II I117 PROGRAMMING PRACTICE II DEBUG Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara yasu@jaist.ac.jp / SCHEDULE 1. 2011/06/07(Tue) / Basic of Programming 2. 2011/06/09(Thu)

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

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

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 1115084 2009 3 5 3.,,,.., HCI(Human Computer Interaction),.,,.,,.,.,,..,. i Abstract Method for Recognizing Expression Considering

More information

VHDL

VHDL VHDL 1030192 15 2 10 1 1 2 2 2.1 2 2.2 5 2.3 11 2.3.1 12 2.3.2 12 2.4 12 2.4.1 12 2.4.2 13 2.5 13 2.5.1 13 2.5.2 14 2.6 15 2.6.1 15 2.6.2 16 3 IC 17 3.1 IC 17 3.2 T T L 17 3.3 C M O S 20 3.4 21 i 3.5 21

More information

1 1 tf-idf tf-idf i

1 1 tf-idf tf-idf i 14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles

More information

Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Social Networking

Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Social Networking 23 An attribute expression of the virtual window system communicators 1120265 2012 3 1 Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual

More information

, IT.,.,..,.. i

, IT.,.,..,.. i 25 To construct the system that promote a interactive method as a knowledge acquisition 1140317 2014 2 28 , IT.,.,..,.. i Abstract To construct the system that promote a interactive method as a knowledge

More information

Design at a higher level

Design at a higher level Meropa FAST 97 98 10 HLS, Mapping, Timing, HDL, GUI, Chip design Cadence, Synopsys, Sente, Triquest Ericsson, LSI Logic 1980 RTL RTL gates Applicability of design methodologies given constant size of

More information

IT i

IT i 27 The automatic extract of know-how search tag using a thesaurus 1160374 2016 2 26 IT i Abstract The automatic extract of know-how search tag using a thesaurus In recent years, a number of organizational

More information

,,.,,., II,,,.,,.,.,,,.,,,.,, II i

,,.,,., II,,,.,,.,.,,,.,,,.,, II i 12 Load Dispersion Methods in Thin Client Systems 1010405 2001 2 5 ,,.,,., II,,,.,,.,.,,,.,,,.,, II i Abstract Load Dispersion Methods in Thin Client Systems Noritaka TAKEUCHI Server Based Computing by

More information

189 2015 1 80

189 2015 1 80 189 2015 1 A Design and Implementation of the Digital Annotation Basis on an Image Resource for a Touch Operation TSUDA Mitsuhiro 79 189 2015 1 80 81 189 2015 1 82 83 189 2015 1 84 85 189 2015 1 86 87

More information

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i 25 Feature Selection for Prediction of Stock Price Time Series 1140357 2014 2 28 ..,,,,. 2013 1 1 12 31, ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i Abstract Feature Selection for Prediction of Stock Price Time

More information

25 Removal of the fricative sounds that occur in the electronic stethoscope

25 Removal of the fricative sounds that occur in the electronic stethoscope 25 Removal of the fricative sounds that occur in the electronic stethoscope 1140311 2014 3 7 ,.,.,.,.,.,.,.,,.,.,.,.,,. i Abstract Removal of the fricative sounds that occur in the electronic stethoscope

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

Microsoft PowerPoint - Lecture ppt [互換モード]

Microsoft PowerPoint - Lecture ppt [互換モード] 2012-05-31 2011 年前学期 TOKYO TECH 固定小数点表現 計算機アーキテクチャ第一 (E) あまり利用されない 小数点の位置を固定する データ形式 (2) 吉瀬謙二計算工学専攻 kise_at_cs.titech.ac.jp W641 講義室木曜日 13:20-14:50-2.625 符号ビット 小数点 1 0 1 0 1 0 1 0 4 2 1 0.5 0.25 0.125

More information

Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i

Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i 16 Pipelined Signature Matching for Malicious Access Detection 1050371 2005 3 11 Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i Abstract Pipelined Signature

More information

untitled

untitled 13 Verilog HDL 16 CPU CPU IP 16 1023 2 reg[ msb: lsb] [ ]; reg [15:0] MEM [0:1023]; //16 1024 16 1 16 2 FF 1 address 8 64 `resetall `timescale 1ns/10ps module mem8(address, readdata,writedata, write, read);

More information

デザインパフォーマンス向上のためのHDLコーディング法

デザインパフォーマンス向上のためのHDLコーディング法 WP231 (1.1) 2006 1 6 HDL FPGA TL TL 100MHz 400MHz HDL FPGA FPGA 2005 2006 Xilinx, Inc. All rights reserved. XILINX, the Xilinx logo, and other designated brands included herein are trademarks of Xilinx,

More information

2007-Kanai-paper.dvi

2007-Kanai-paper.dvi 19 Estimation of Sound Source Zone using The Arrival Time Interval 1080351 2008 3 7 S/N 2 2 2 i Abstract Estimation of Sound Source Zone using The Arrival Time Interval Koichiro Kanai The microphone array

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

WebRTC P2P,. Web,. WebRTC. WebRTC, P2P, i

WebRTC P2P,. Web,. WebRTC. WebRTC, P2P, i 28 WebRTC Design of multi-platform file sharing system using WebRTC 1170336 2017 2 28 WebRTC P2P,. Web,. WebRTC. WebRTC, P2P, i Abstract Design of multi-platform file sharing system using WebRTC Harumi

More information

29 jjencode JavaScript

29 jjencode JavaScript Kochi University of Technology Aca Title jjencode で難読化された JavaScript の検知 Author(s) 中村, 弘亮 Citation Date of 2018-03 issue URL http://hdl.handle.net/10173/1975 Rights Text version author Kochi, JAPAN http://kutarr.lib.kochi-tech.ac.jp/dspa

More information

News_Letter_No35(Ver.2).p65

News_Letter_No35(Ver.2).p65 OCIAL AFETY CIENCE No.35 2000.8 from Institute of Social Safety Science 10 11 17 11 19 17 181819 18 420-0042 5-9-1 JR 25 Tel 054-251-7100-1 - 10 10 I (1) 12 11 17 19 (2) 5-9-1 JR 25 II (1) 12 9 18 (2)

More information

IT,, i

IT,, i 22 Retrieval support system using bookmarks that are shared in an organization 1110250 2011 3 17 IT,, i Abstract Retrieval support system using bookmarks that are shared in an organization Yoshihiko Komaki

More information

スライド 1

スライド 1 1 1. 2 2. 3 isplever 4 5 6 7 8 9 VHDL 10 VHDL 4 Decode cnt = "1010" High Low DOUT CLK 25MHz 50MHz clk_inst Cnt[3:0] RST 2 4 1010 11 library ieee; library xp; use xp.components.all; use ieee.std_logic_1164.all;

More information

21 Effects of background stimuli by changing speed color matching color stimulus

21 Effects of background stimuli by changing speed color matching color stimulus 21 Effects of background stimuli by changing speed color matching color stimulus 1100274 2010 3 1 ,.,,.,.,.,,,,.,, ( FL10N-EDL). ( 10cm, 2cm),,, 3.,,,, 4., ( MSS206-402W2J), ( SDM496)., 1200r/min,1200r/min

More information

AccessflÌfl—−ÇŠš1

AccessflÌfl—−ÇŠš1 ACCESS ACCESS i ii ACCESS iii iv ACCESS v vi ACCESS CONTENTS ACCESS CONTENTS ACCESS 1 ACCESS 1 2 ACCESS 3 1 4 ACCESS 5 1 6 ACCESS 7 1 8 9 ACCESS 10 1 ACCESS 11 1 12 ACCESS 13 1 14 ACCESS 15 1 v 16 ACCESS

More information

NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i {

NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i { 12 The eect of a surrounding light to color discrimination 1010425 2001 2 5 NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i { Abstract The eect of a surrounding light to color discrimination Ynka

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

2 10 The Bulletin of Meiji University of Integrative Medicine 1,2 II 1 Web PubMed elbow pain baseball elbow little leaguer s elbow acupun

2 10 The Bulletin of Meiji University of Integrative Medicine 1,2 II 1 Web PubMed elbow pain baseball elbow little leaguer s elbow acupun 10 1-14 2014 1 2 3 4 2 1 2 3 4 Web PubMed elbow pain baseball elbow little leaguer s elbow acupuncture electric acupuncture 2003 2012 10 39 32 Web PubMed Key words growth stage elbow pain baseball elbow

More information

地域共同体を基盤とした渇水管理システムの持続可能性

地域共同体を基盤とした渇水管理システムの持続可能性 I 1994 1994 1994 1,176 1,377 1995, p.21; 1999 Kazuki Kagohashi / 10 1 1 1991 drought water bank 2013 466-8673 18 E-mail:kagohashi@gmail.com 1 355 10 2 Kondo 2013 136 2015 spring / No.403 2 1 1994 1995,

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

i

i 14 i ii iii iv v vi 14 13 86 13 12 28 14 16 14 15 31 (1) 13 12 28 20 (2) (3) 2 (4) (5) 14 14 50 48 3 11 11 22 14 15 10 14 20 21 20 (1) 14 (2) 14 4 (3) (4) (5) 12 12 (6) 14 15 5 6 7 8 9 10 7

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

kiyo5_1-masuzawa.indd

kiyo5_1-masuzawa.indd .pp. A Study on Wind Forecast using Self-Organizing Map FUJIMATSU Seiichiro, SUMI Yasuaki, UETA Takuya, KOBAYASHI Asuka, TSUKUTANI Takao, FUKUI Yutaka SOM SOM Elman SOM SOM Elman SOM Abstract : Now a small

More information

MRI | 所報 | 分権経営の進展下におけるグループ・マネジメント

MRI  | 所報 | 分権経営の進展下におけるグループ・マネジメント JOURNAL OF MITSUBISHI RESEARCH INSTITUTE No. 35 1999 (03)3277-0003 FAX (03)3277-0520 E-mailprd@mri.co.jp 76 Research Paper Group Management in the Development of Decentralized Management Satoshi Komatsubara,

More information

Fig. 1 Schematic construction of a PWS vehicle Fig. 2 Main power circuit of an inverter system for two motors drive

Fig. 1 Schematic construction of a PWS vehicle Fig. 2 Main power circuit of an inverter system for two motors drive An Application of Multiple Induction Motor Control with a Single Inverter to an Unmanned Vehicle Propulsion Akira KUMAMOTO* and Yoshihisa HIRANE* This paper is concerned with a new scheme of independent

More information

橡自動車~1.PDF

橡自動車~1.PDF CIRJE-J-34 2000 10 Abstract In this paper, we examine the diversity of transaction patterns observed between a single pair of one automaker and one auto parts supplier in Japan. Assumed reasonably that

More information

main.dvi

main.dvi 20 II 7. 1 409, 3255 e-mail: namba@faculty.chiba-u.jp 2 1 1 1 4 2 203 2 1 1 1 5 503 1 3 1 2 2 Web http://www.icsd2.tj.chiba-u.jp/~namba/lecture/ 1 2 1 5 501 1,, \,", 2000 7. : 1 1 CPU CPU 1 Intel Pentium

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

29 Short-time prediction of time series data for binary option trade

29 Short-time prediction of time series data for binary option trade 29 Short-time prediction of time series data for binary option trade 1180365 2018 2 28 RSI(Relative Strength Index) 3 USD/JPY 1 2001 1 2 4 10 2017 12 29 17 00 1 high low i Abstract Short-time prediction

More information

( )

( ) NAIST-IS-MT0851100 2010 2 4 ( ) CR CR CR 1980 90 CR Kerberos SSH CR CR CR CR CR CR,,, ID, NAIST-IS- MT0851100, 2010 2 4. i On the Key Management Policy of Challenge Response Authentication Schemes Toshiya

More information

26102 (1/2) LSISoC: (1) (*) (*) GPU SIMD MIMD FPGA DES, AES (2/2) (2) FPGA(8bit) (ISS: Instruction Set Simulator) (3) (4) LSI ECU110100ECU1 ECU ECU ECU ECU FPGA ECU main() { int i, j, k for { } 1 GP-GPU

More information

Wi-Fi Wi-Fi Wi-Fi Wi-Fi SAS SAS-2 Wi-Fi i

Wi-Fi Wi-Fi Wi-Fi Wi-Fi SAS SAS-2 Wi-Fi i 26 A Study on Secure Remote Control Methods 1175078 2015 2 27 Wi-Fi Wi-Fi Wi-Fi Wi-Fi SAS SAS-2 Wi-Fi i Abstract A Study on Secure Remote Control Methods SHINGAI, Tatsuro In recent years, communication

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

kut-paper-template.dvi

kut-paper-template.dvi 26 Discrimination of abnormal breath sound by using the features of breath sound 1150313 ,,,,,,,,,,,,, i Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo

More information

Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag

Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag 2004 RGB A STUDY OF RGB COLOR INFORMATION AND ITS APPLICATION 03R3237 Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One

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

EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Ju

EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Ju EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Jun Motohashi, Member, Takashi Ichinose, Member (Tokyo

More information

2

2 L C -24K 9 L C -22K 9 2 3 4 5 6 7 8 9 10 11 12 11 03 AM 04 05 0 PM 1 06 1 PM 07 00 00 08 2 PM 00 4 PM 011 011 021 041 061 081 051 071 1 2 4 6 8 5 7 00 00 00 00 00 00 00 00 30 00 09 00 15 10 3 PM 45 00

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

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

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

RW1097-0A-001_V0.1_170106

RW1097-0A-001_V0.1_170106 INTRODUCTION RW1097 is a dot matrix LCD driver & controller LSI which is fabricated by low power CMOS technology. It can display 1line/2line/3line/4line/5line/6lines x 12 (16 x 16 dot format) with the

More information

SNS ( ) SNS(Social Networking Service) SNS SNS i

SNS ( ) SNS(Social Networking Service) SNS SNS i 22 SNS Job-Hunting Activities situation Understanding Support System Using SNS 1110252 2011 03 01 SNS ( ) SNS(Social Networking Service) SNS SNS i Abstract Job-Hunting Activities situation Understanding

More information

VLSI工学

VLSI工学 2008/1/15 (12) 1 2008/1/15 (12) 2 (12) http://ssc.pe.titech.ac.jp 2008/1/15 (12) 3 VLSI 100W P d f clk C V 2 dd I I I leak sub g = I sub + I g qv exp nkt exp ( 5. 6V 10T 2. 5) gd T V T ox Gordon E. Moore,

More information

job-shop.dvi

job-shop.dvi 21 GA GA for job-shop scheduling problem by plural chromosome expression 1100303 2010 3 1 GA 1,,,,,,,, 4, 4,, i Abstract GA for job-shop scheduling problem by plural chromosome expression Tatsuki Shinohara

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

untitled

untitled PC murakami@cc.kyushu-u.ac.jp muscle server blade server PC PC + EHPC/Eric (Embedded HPC with Eric) 1216 Compact PCI Compact PCIPC Compact PCISH-4 Compact PCISH-4 Eric Eric EHPC/Eric EHPC/Eric Gigabit

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

20 No. 35 (2014) 2013 Excel Excel Excel Excel a 1

20 No. 35 (2014) 2013 Excel Excel Excel Excel a 1 19 Excel The Development of an Automatic Marking Program of a Standardized Test for Excel and a Report on the Results of the Test Tadashi Osone, Jun Sekine, Ami Tambo School of Business Administration,

More information

0630-j.ppt

0630-j.ppt 5 part II 2008630 6/30/2008 1 SR (latch) 1(2 22, ( SR S SR 1 SR SR,0, 6/30/2008 2 1 T 6/30/2008 3 (a)(x,y) (1,1) (0,0) X Y XOR S (S,R)(0,1) (0,0) (0,1) (b) AND (a) R YX XOR AND (S,R)(1,1) (c) (b) (c) 6/30/2008

More information

DRAM SRAM SDRAM (Synchronous DRAM) DDR SDRAM (Double Data Rate SDRAM) DRAM 4 C Wikipedia 1.8 SRAM DRAM DRAM SRAM DRAM SRAM (256M 1G bit) (32 64M bit)

DRAM SRAM SDRAM (Synchronous DRAM) DDR SDRAM (Double Data Rate SDRAM) DRAM 4 C Wikipedia 1.8 SRAM DRAM DRAM SRAM DRAM SRAM (256M 1G bit) (32 64M bit) 2016.4.1 II ( ) 1 1.1 DRAM RAM DRAM DRAM SRAM RAM SRAM SRAM SRAM SRAM DRAM SRAM SRAM DRAM SRAM 1.2 (DRAM, Dynamic RAM) (SRAM, Static RAM) (RAM Random Access Memory ) DRAM 1 1 1 1 SRAM 4 1 2 DRAM 4 DRAM

More information