ARTED Xeon Phi Xeon Phi 2. ARTED ARTED (Ab-initio Real-Time Electron Dynamics simulator) RTRS- DFT (Real-Time Real-Space Density Functional Theory, )
|
|
- かおり さかわ
- 5 years ago
- Views:
Transcription
1 Xeon Phi 1,a) 1,3 2 2,3 Intel Xeon Phi PC RTRSDFT ( ) ARTED (Ab-initio Real-Time Electron Dynamics simulator) Xeon Phi OpenMP Intel E5-2670v2 (Ivy-Bridge 10 ) CPU Xeon Phi Symmetric CPU Symmetric CPU 90% CPU 32 Symmetric Intel Xeon Phi (Xeon Phi) MIC (Many Integrated Cores) KNC (Knights Corner) Xeon Phi GPU (Graphics Processing Units) PCI-Express Xeon Phi Linux Xeon Phi Xeon Phi CPU Xeon Phi 3 1 GPU Offload 2 CPU Xeon Phi Native 3 CPU Xeon Phi MPI (Message Passing Interface) Symmetric Offload GPU CPU Native a) hirokawa@hpcs.cs.tsukuba.ac.jp Symmetric Native CPU Xeon Phi Symmetric Xeon Phi KNL (Knights Landing) PCI-Express CPU KNL Native Symmetric Native Symmetric Xeon Phi [1], [2], [3] Xeon Phi CPU Xeon Phi Xeon Phi RTRSDFT ( ) 1
2 ARTED Xeon Phi Xeon Phi 2. ARTED ARTED (Ab-initio Real-Time Electron Dynamics simulator) RTRS- DFT (Real-Time Real-Space Density Functional Theory, ) [4] RTRSDFT RSDFT (Real-Space Density Functional Theory, ) RTRSDFT RSDFT RSDFT 10 [5] ARTED ARTED 1 10 ARTED ARTED [6] ARTED % 3. ARTED ARTED k k NK NB x y z (NLx, NLy, NLz) (NK, NB, NLx, NLy, NLz) (NK, NB, NL) SiO 2 (4 3, 48, = (20, 36, 50)) Si (24 3, 32, 4096 = (16, 16, 16)) MPI k 1 No hpsi psi_rho_rt Hartree Exc_Cor current Iteration mod 10 = 0 Ion_Force REAL8, SIZE=3 REAL8, SIZE=3NI Logging REAL8, SIZE=NL Yes Total_Energy REAL8, SIZE=1 REAL8, SIZE=5 REAL8, SIZE=3NI ARTED OpenMP MPI (NK / # of process, NB, NL) ARTED ARTED RSDFT OpenMP (NL) (NK / # of process) NB k
3 1 Number of Node 32 CPU Intel E5-2670v2 2 Number of Cores Memory Xeon Phi Infiniband 20 (10 cores 2 sockets)/node 64GB 7110P 2/Node Compiler Intel FDR Connect-X3 (56 Gbit/s) MPI Intel MPI Intel MKL OS Red Hat Enterprise Linux Server 6.4 MPSS OFED Inifiniband Network Infiniband FDR 2 Gen3 x8 PCI-Express CPU 0 QPI CPU 1 Gen2 x16 MIC 0 Gen2 x16 MIC 1 COMA NL NI SiO 2 18 Si 8 1 hpsi 25 Byte/Flop 20 current hpsi 4 25 hpsi CPU Native Symmetric 4. Xeon Phi COMA 32 [7] COMA 2 Xeon Phi TFLOPS 1PFLOPS 1 2 COMA InfiniBand Xeon Phi CPU0 Xeon Phi COMA QPI Xeon CPU PCI-Express InfiniBand NVIDIA GPU QPI [8] CPU 1 OpenMP 10 Xeon Phi Symmetric Symmetric 2 CPU 2 Xeon Phi CPU 20 1 Symmetric 3 5. Xeon Phi 5.1 hpsi Xeon Phi 512bit SIMD Intrinsics Intel Intel Xeon Phi Xeon Phi 240 OpenMP OpenMP SiO 2 SiO k k
4 3 hpsi Xeon Phi CPU 2 SiO 2 # of Process Loop Size Field Size/Process Xeon Phi 240 Xeon Phi CPU Xeon Phi Xeon Phi CPU 40% Xeon Phi ARTED CPU 56% NL (NLx, NLy, NLz) unroll j Intel Intel [9] ( ) -ipo -fp-model fast=2 -complex-limited-range -no-vec-guard-write -qopt-ra-region-strategy=block (Xeon Phi ) -qopt-threads-per-core=4 -qoptgather-scatter-unroll=4 -qopt-assume-safe-padding - opt-streaming-cache-evict=0 -qopt-streaming-stores always -opt-assume-safe-padding -qoptthreads-per-core Xeon Phi -qopt-threads-per-core=4 4 Xeon Phi CPU -qopt-streaming-stores -qopt-streaming-stores -opt-streaming-cache-evict 0 65% OpenMP COMA Xeon Phi 240 SiO OpenMP 4
5 real (8) :: cef complex (8) :: zi,sx,sy,sz,tx,ty,tz real (8) :: lapx (4), lapy (4), lapz (4) real (8) :: nabx (4), naby (4), nabz (4) integer :: idx (4, NL), idy (4, NL), idz (4, NL) complex (8) :: u( NL),s( NL) do i=1, NL sx= lapx (1)*( u( idx (1,i ))+ u( idx (-1,i )))& &+ lapx (2)*( u( idx (2,i ))+ u( idx (-2,i )))& &+ lapx (3)*( u( idx (3,i ))+ u( idx (-3,i )))& &+ lapx (4)*( u( idx (4,i ))+ u( idx (-4,i ))) tx= nabx (1)*( u( idx (1,i)) -u( idx (-1,i )))& &+ nabx (2)*( u( idx (2,i)) -u( idx (-2,i )))& &+ nabx (3)*( u( idx (3,i)) -u( idx (-3,i )))& &+ nabx (4)*( u( idx (4,i)) -u( idx (-4,i )))! y, z s(i)= cef *u(i ) -0.5 d0 *( sx+sy+sz)- zi *( tx+ty+tz) 4 real (8) :: cef complex (8) :: zi,st,tt complex (8) :: lapt (12), nabt (12) integer :: idpt (12, NL), idmt (12, NL) complex (8) :: u( NL),s( NL)! dir$ vector aligned do iz =1, NLz do iy =1, NLy do ix =1, NLx i =(( iz -1)* NLy * NLx )+(( iy -1)* NLx )+ ix st =0. d0 tt =0. d0! dir$ unroll (12) do j=1,12 st=st+ lapt (j )*( u( idpt (j,i ))+u( idmt (j,i ))) tt=tt+ nabt (j )*( u( idpt (j,i ))+u( idmt (j,i ))) s(i)= cef *u(i ) -0.5 d0*st -zi*tt 5 (OMP SCHEDULE=static) (OMP SCHEDULE=static,1) (OMP SCHEDULE=dynamic,1) (KMP AFFINITY) compact balanced scatter 25 3 Si (diamond) # of Process Loop Size Field Size/Process OpenMP 75% IPO (Interprocedual Optimization) 0.78 CPU CPU 94% -qopt-streaming-stores CPU 117% CPU Xeon Phi 66% 5.2 Si hpsi 5.1 SiO 2 2 Si hpsi Si 3 Si k SiO Xeon Phi SiO Xeon Phi hpsi 6 Xeon Phi OpenMP SiO Si
6 6 Si hpsi Xeon Phi CPU 2 CPU 1 CPU Xeon Phi MPI 5.3 current hpsi hpsi psi rho RT hpsi hpsi CPU Xeon Phi Xeon Phi CPU Xeon Phi Xeon Phi Xeon Phi 6. ARTED CPU Native Symmetric 3 CPU Xeon Phi Symmetric Si 100 OpenMP omp do schedule(dynamic,1) (hpsi current) 6.1 CPU Xeon Phi 8 32 CPU Xeon Phi 7 1 hpsi current psi rho RT 3 Xeon Phi hpsi CPU Xeon Phi CPU current psi rho RT CPU psi rho RT CPU Xeon Phi 3 omp parallel do OpenMP omp parallel omp do nowait CPU CPU Xeon Phi CPU 90% CPU Symmetric Xeon Phi 32 CPU CPU 64 Symmetric CPU Xeon Phi Xeon Phi
7 7 8 () 9 ( ) CPU 32 Xeon Phi Symmetric 16 90% CPU 1 Xeon Phi 1 COMA 2 Symmetric 2 Xeon Phi CPU Symmetric Xeon Phi CPU 10 OpenMP Xeon Phi Symmetric 7. ARTED Xeon Phi CPU Symmetric CPU ARTED CPU 1 Xeon Phi 1 CPU 90% Symmetric Xeon Phi CPU Symmetric CPU Symmetric CPU Xeon Phi 26 7
8 [1] Xeon Phi (Knights Corner) Vol HPC-143, No. 32 (2014). [2] GPU/MIC Vol HPC-144, No. 4 (2014). [3] Xeon Phi Vol HPC-139, No. 20 (2013). [4] Shunsuke A. Sato and Kazuhiro Yabana: Maxwell + TDDFT multi-scale simulation for laser-matter interactions, J. Adv. Simulat. Sci. Eng., Vol. 1, No. 1, pp (2014). [5] Hasegawa, Y., Iwata, J.-I., Tsuji, M., Takahashi, D., Oshiyama, A., Minami, K., Boku, T., Shoji, F., Uno, A., Kurokawa, M., Inoue, H., Miyoshi, I. and Yokokawa, M.: First-principles Calculations of Electron States of a Silicon Nanowire with 100,000 Atoms on the K Computer, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 11, ACM, (online), DOI: / (2011). [6] Schultze, M., Ramasesha, K., Pemmaraju, C., Sato, S., Whitmore, D., Gandman, A., Prell, J. S., Borja, L. J., Prendergast, D., Yabana, K., Neumark, D. M. and Leone, S. R.: Attosecond band-gap dynamics in silicon, Science 12 December 2014, Vol. 346, No. 6215, pp (online), DOI: /science [7] COMA (PACS-IX) ac.jp/files/coma-general/coma_outline.pdf. [8] HA-PACS/TCA TCA InfiniBand Vol HPC-147, No. 32 (2014). [9] Intel: User and Reference Guide for the Intel Fortran Compiler 15.0, compiler_15.0_ug_f. 8
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 informationVol.214-HPC-145 No /7/3 C #pragma acc directive-name [clause [[,] clause] ] new-line structured block Fortran!$acc directive-name [clause [[,] c
Vol.214-HPC-145 No.45 214/7/3 OpenACC 1 3,1,2 1,2 GPU CUDA OpenCL OpenACC OpenACC High-level OpenACC CPU Intex Xeon Phi K2X GPU Intel Xeon Phi 27% K2X GPU 24% 1. TSUBAME2.5 CPU GPU CUDA OpenCL CPU OpenMP
More informationIPSJ SIG Technical Report Vol.2012-ARC-202 No.13 Vol.2012-HPC-137 No /12/13 Tightly Coupled Accelerators 1,a) 1,b) 1,c) 1,d) GPU HA-PACS
Tightly Coupled Accelerators 1,a) 1,b) 1,c) 1,d) HA-PACS 2012 2 HA-PACS TCA (Tightly Coupled Accelerators) TCA PEACH2 1. (Graphics Processing Unit) HPC GP(General Purpose ) TOP500 [1] CPU PCI Express (PCIe)
More informationHP High Performance Computing(HPC)
ACCELERATE HP High Performance Computing HPC HPC HPC HPC HPC 1000 HPHPC HPC HP HPC HPC HPC HP HPCHP HP HPC 1 HPC HP 2 HPC HPC HP ITIDC HP HPC 1HPC HPC No.1 HPC TOP500 2010 11 HP 159 32% HP HPCHP 2010 Q1-Q4
More information1重谷.PDF
RSCC RSCC RSCC BMT 1 6 3 3000 3000 200310 1994 19942 VPP500/32PE 19992 VPP700E/128PE 160PE 20043 2 2 PC Linux 2048 CPU Intel Xeon 3.06GHzDual) 12.5 TFLOPS SX-7 32CPU/256GB 282.5 GFLOPS Linux 3 PC 1999
More informationHPEハイパフォーマンスコンピューティング ソリューション
HPE HPC / AI Page 2 No.1 * 24.8% No.1 * HPE HPC / AI HPC AI SGIHPE HPC / AI GPU TOP500 50th edition Nov. 2017 HPE No.1 124 www.top500.org HPE HPC / AI TSUBAME 3.0 2017 7 AI TSUBAME 3.0 HPE SGI 8600 System
More informationmain.dvi
PC 1 1 [1][2] [3][4] ( ) GPU(Graphics Processing Unit) GPU PC GPU PC ( 2 GPU ) GPU Harris Corner Detector[5] CPU ( ) ( ) CPU GPU 2 3 GPU 4 5 6 7 1 toyohiro@isc.kyutech.ac.jp 45 2 ( ) CPU ( ) ( ) () 2.1
More information09中西
PC NEC Linux (1) (2) (1) (2) 1 Linux Linux 2002.11.22) LLNL Linux Intel Xeon 2300 ASCIWhite1/7 / HPC (IDC) 2002 800 2005 2004 HPC 80%Linux) Linux ASCI Purple (ASCI 100TFlops Blue Gene/L 1PFlops (2005)
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
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 informationPC Development of Distributed PC Grid System,,,, Junji Umemoto, Hiroyuki Ebara, Katsumi Onishi, Hiroaki Morikawa, and Bunryu U PC WAN PC PC WAN PC 1 P
PC Development of Distributed PC Grid System,,,, Junji Umemoto, Hiroyuki Ebara, Katsumi Onishi, Hiroaki Morikawa, and Bunryu U PC WAN PC PC WAN PC 1 PC PC PC PC PC Key Words:Grid, PC Cluster, Distributed
More informationスパコンに通じる並列プログラミングの基礎
2016.06.06 2016.06.06 1 / 60 2016.06.06 2 / 60 Windows, Mac Unix 0444-J 2016.06.06 3 / 60 Part I Unix GUI CUI: Unix, Windows, Mac OS Part II 0444-J 2016.06.06 4 / 60 ( : ) 6 6 ( ) 6 10 6 16 SX-ACE 6 17
More informationGPU n Graphics Processing Unit CG CAD
GPU 2016/06/27 第 20 回 GPU コンピューティング講習会 ( 東京工業大学 ) 1 GPU n Graphics Processing Unit CG CAD www.nvidia.co.jp www.autodesk.co.jp www.pixar.com GPU n GPU ü n NVIDIA CUDA ü NVIDIA GPU ü OS Linux, Windows, Mac
More informationMATLAB® における並列・分散コンピューティング ~ Parallel Computing Toolbox™ & MATLAB Distributed Computing Server™ ~
MATLAB における並列 分散コンピューティング ~ Parallel Computing Toolbox & MATLAB Distributed Computing Server ~ MathWorks Japan Application Engineering Group Takashi Yoshida 2016 The MathWorks, Inc. 1 System Configuration
More informationItanium2ベンチマーク
HPC CPU mhori@ile.osaka-u.ac.jp Special thanks Timur Esirkepov HPC 2004 2 25 1 1. CPU 2. 3. Itanium 2 HPC 2 1 Itanium2 CPU CPU 3 ( ) Intel Itanium2 NEC SX-6 HP Alpha Server ES40 PRIMEPOWER SR8000 Intel
More informationスパコンに通じる並列プログラミングの基礎
2018.09.10 furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 1 / 59 furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 2 / 59 Windows, Mac Unix 0444-J furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 3 / 59 Part I Unix GUI CUI:
More information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 informationuntitled
taisuke@cs.tsukuba.ac.jp http://www.hpcs.is.tsukuba.ac.jp/~taisuke/ CP-PACS HPC PC post CP-PACS CP-PACS II 1990 HPC RWCP, HPC かつての世界最高速計算機も 1996年11月のTOP500 第一位 ピーク性能 614 GFLOPS Linpack性能 368 GFLOPS (地球シミュレータの前
More informationパナソニック技報
136 Panasonic Technical Journal Vol. 61 No. 2 Nov. 2015 Radio Propagation and Electromagnetic Field Simulation Techniques for Large-Scale Model using Supercomputer Hiroyuki Uno Tatsunori Yui Hiroyuki Fukuda
More information07-二村幸孝・出口大輔.indd
GPU Graphics Processing Units HPC High Performance Computing GPU GPGPU General-Purpose computation on GPU CPU GPU GPU *1 Intel Quad-Core Xeon E5472 3.0 GHz 2 6 MB L2 cache 1600 MHz FSB 80 GFlops 1 nvidia
More information卒業論文
PC OpenMP SCore PC OpenMP PC PC PC Myrinet PC PC 1 OpenMP 2 1 3 3 PC 8 OpenMP 11 15 15 16 16 18 19 19 19 20 20 21 21 23 26 29 30 31 32 33 4 5 6 7 SCore 9 PC 10 OpenMP 14 16 17 10 17 11 19 12 19 13 20 1421
More information01_OpenMP_osx.indd
OpenMP* / 1 1... 2 2... 3 3... 5 4... 7 5... 9 5.1... 9 5.2 OpenMP* API... 13 6... 17 7... 19 / 4 1 2 C/C++ OpenMP* 3 Fortran OpenMP* 4 PC 1 1 9.0 Linux* Windows* Xeon Itanium OS 1 2 2 WEB OS OS OS 1 OS
More information1 GPU GPGPU GPU CPU 2 GPU 2007 NVIDIA GPGPU CUDA[3] GPGPU CUDA GPGPU CUDA GPGPU GPU GPU GPU Graphics Processing Unit LSI LSI CPU ( ) DRAM GPU LSI GPU
GPGPU (I) GPU GPGPU 1 GPU(Graphics Processing Unit) GPU GPGPU(General-Purpose computing on GPUs) GPU GPGPU GPU ( PC ) PC PC GPU PC PC GPU GPU 2008 TSUBAME NVIDIA GPU(Tesla S1070) TOP500 29 [1] 2009 AMD
More informationÊÂÎó·×»»¤È¤Ï/OpenMP¤Î½éÊâ¡Ê£±¡Ë
2015 5 21 OpenMP Hello World Do (omp do) Fortran (omp workshare) CPU Richardson s Forecast Factory 64,000 L.F. Richardson, Weather Prediction by Numerical Process, Cambridge, University Press (1922) Drawing
More information大規模共有メモリーシステムでのGAMESSの利点
Technical white paper GAMESS GAMESS Gordon Group *1 Gaussian Gaussian1 Xeon E7 8 80 2013 4 GAMESS 1 RHF ROHF UHF GVB MCSCF SCF Energy CDFpEP CDFpEP CDFpEP CD-pEP CDFpEP SCF Gradient CDFpEP CDFpEP CDFpEP
More informationuntitled
A = QΛQ T A n n Λ Q A = XΛX 1 A n n Λ X GPGPU A 3 T Q T AQ = T (Q: ) T u i = λ i u i T {λ i } {u i } QR MR 3 v i = Q u i A {v i } A n = 9000 Quad Core Xeon 2 LAPACK (4/3) n 3 O(n 2 ) O(n 3 ) A {v i }
More informationスライド 1
GPU クラスタによる格子 QCD 計算 広大理尾崎裕介 石川健一 1.1 Introduction Graphic Processing Units 1 チップに数百個の演算器 多数の演算器による並列計算 ~TFLOPS ( 単精度 ) CPU 数十 GFLOPS バンド幅 ~100GB/s コストパフォーマンス ~$400 GPU の開発環境 NVIDIA CUDA http://www.nvidia.co.jp/object/cuda_home_new_jp.html
More information次世代スーパーコンピュータのシステム構成案について
6 19 4 27 1. 2. 3. 3.1 3.2 A 3.3 B 4. 5. 2007/4/27 4 1 1. 2007/4/27 4 2 NEC NHF2 18 9 19 19 2 28 10PFLOPS2.5PB 30MW 3,200 18 12 12 SimFold, GAMESS, Modylas, RSDFT, NICAM, LatticeQCD, LANS HPL, NPB-FT 19
More information1 2 4 5 9 10 12 3 6 11 13 14 0 8 7 15 Iteration 0 Iteration 1 1 Iteration 2 Iteration 3 N N N! N 1 MOPT(Merge Optimization) 3) MOPT 8192 2 16384 5 MOP
10000 SFMOPT / / MOPT(Merge OPTimization) MOPT FMOPT(Fast MOPT) FMOPT SFMOPT(Subgrouping FMOPT) SFMOPT 2 8192 31 The Proposal and Evaluation of SFMOPT, a Task Mapping Method for 10000 Tasks Haruka Asano
More informationSecond-semi.PDF
PC 2000 2 18 2 HPC Agenda PC Linux OS UNIX OS Linux Linux OS HPC 1 1CPU CPU Beowulf PC (PC) PC CPU(Pentium ) Beowulf: NASA Tomas Sterling Donald Becker 2 (PC ) Beowulf PC!! Linux Cluster (1) Level 1:
More informationiphone GPGPU GPU OpenCL Mac OS X Snow LeopardOpenCL iphone OpenCL OpenCL NVIDIA GPU CUDA GPU GPU GPU 15 GPU GPU CPU GPU iii OpenMP MPI CPU OpenCL CUDA OpenCL CPU OpenCL GPU NVIDIA Fermi GPU Fermi GPU GPU
More informationHPC (pay-as-you-go) HPC Web 2
,, 1 HPC (pay-as-you-go) HPC Web 2 HPC Amazon EC2 OpenFOAM GPU EC2 3 HPC MPI MPI Courant 1 GPGPU MPI 4 AMAZON EC2 GPU CLUSTER COMPUTE INSTANCE EC2 GPU (cg1.4xlarge) ( N. Virgina ) Quadcore Intel Xeon 5570
More informationIPSJ SIG Technical Report Vol.2013-ARC-206 No /8/1 Android Dominic Hillenbrand ODROID-X2 GPIO Android OSCAR WFI 500[us] GPIO GP
Android 1 1 1 1 1 Dominic Hillenbrand 1 1 1 ODROID-X2 GPIO Android OSCAR WFI 500[us] GPIO GPIO API GPIO API GPIO MPEG2 Optical Flow MPEG2 1PE 0.97[W] 0.63[W] 2PE 1.88[w] 0.46[W] 3PE 2.79[W] 0.37[W] Optical
More information040312研究会HPC2500.ppt
2004312 e-mail : m-aoki@jp.fujitsu.com 1 2 PRIMEPOWER VX/VPP300 VPP700 GP7000 AP3000 VPP5000 PRIMEPOWER 2000 PRIMEPOWER HPC2500 1998 1999 2000 2001 2002 2003 3 VPP5000 PRIMEPOWER ( 1 VU 9.6 GF 16GB 1 VU
More information情報処理学会研究報告 IPSJ SIG Technical Report Vol.2013-HPC-139 No /5/29 Gfarm/Pwrake NICT NICT 10TB 100TB CPU I/O HPC I/O NICT Gf
Gfarm/Pwrake NICT 1 1 1 1 2 2 3 4 5 5 5 6 NICT 10TB 100TB CPU I/O HPC I/O NICT Gfarm Gfarm Pwrake A Parallel Processing Technique on the NICT Science Cloud via Gfarm/Pwrake KEN T. MURATA 1 HIDENOBU WATANABE
More informationMicrosoft PowerPoint - GPU_computing_2013_01.pptx
GPU コンピューティン No.1 導入 東京工業大学 学術国際情報センター 青木尊之 1 GPU とは 2 GPGPU (General-purpose computing on graphics processing units) GPU を画像処理以外の一般的計算に使う GPU の魅力 高性能 : ハイエンド GPU はピーク 4 TFLOPS 超 手軽さ : 普通の PC にも装着できる 低価格
More information23 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 informationuntitled
OS 2007/4/27 1 Uni-processor system revisited Memory disk controller frame buffer network interface various devices bus 2 1 Uni-processor system today Intel i850 chipset block diagram Source: intel web
More information2ndD3.eps
CUDA GPGPU 2012 UDX 12/5/24 p. 1 FDTD GPU FDTD GPU FDTD FDTD FDTD PGI Acceralator CUDA OpenMP Fermi GPU (Tesla C2075/C2070, GTX 580) GT200 GPU (Tesla C1060, GTX 285) PC GPGPU 2012 UDX 12/5/24 p. 2 FDTD
More informationuntitled
A = QΛQ T A n n Λ Q A = XΛX 1 A n n Λ X GPGPU A 3 T Q T AQ = T (Q: ) T u i = λ i u i T {λ i } {u i } QR MR 3 v i = Q u i A {v i } A n = 9000 Quad Core Xeon 2 LAPACK (4/3) n 3 O(n 2 ) O(n 3 ) A {v i }
More informationIPSJ SIG Technical Report NetMAS NetMAS NetMAS One-dimensional Pedestrian Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yam
1 1 1 1 1 NetMAS NetMAS NetMAS One-dimensional Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yamashita, 1 Masaki Onishi, 1 Ikushi Yoda 1 and Itsuki Noda 1 We propose the one-dimentional
More informationP2P 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 informationv10 IA-32 64¹ IA-64²
v10 IA-32 64¹ IA-64² 1. 2. 3. 4. 5. 6. /Od (-O0) Windows* /O1 /O2 /O3 Linux* Mac OS* -O1 -O2 -O3 /O2 ( O2) /O3 (-O3) IA-64 Core 2 /QxT ( xt) IA-32 64 IA-32 64 Itanium 2 9000 /G2-p9000 ( mtune=itanium2-p9000)
More informationPRIMERGY 性能情報 SPECint2006 / SPECfp2006 測定結果一覧
SPECint / SPECfp 測定結果一覧 しおり より 測定結果を確認したいモデル名を選択してください 07 年 6 月 8 日更新 分類 モデル名 更新日 前版からの変更 ラックサーバ RX00 S7 (0 年 5 月以降発表モデル ) 0 年 0 月 3 日 RX00 S7 (0 年 6 月発表モデル ) RX00
More informationMicrosoft Word - HOKUSAI_system_overview_ja.docx
HOKUSAI システムの概要 1.1 システム構成 HOKUSAI システムは 超並列演算システム (GWMPC BWMPC) アプリケーション演算サーバ群 ( 大容量メモリ演算サーバ GPU 演算サーバ ) と システムの利用入口となるフロントエンドサーバ 用途の異なる 2 つのストレージ ( オンライン ストレージ 階層型ストレージ ) から構成されるシステムです 図 0-1 システム構成図
More informationSlides: TimeGraph: GPU Scheduling for Real-Time Multi-Tasking Environments
計算機アーキテクチャ第 11 回 マルチプロセッサ 本資料は授業用です 無断で転載することを禁じます 名古屋大学 大学院情報科学研究科 准教授加藤真平 デスクトップ ジョブレベル並列性 スーパーコンピュータ 並列処理プログラム プログラムの並列化 for (i = 0; i < N; i++) { x[i] = a[i] + b[i]; } プログラムの並列化 x[0] = a[0] + b[0];
More informationGPGPU
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 information02_C-C++_osx.indd
C/C++ OpenMP* / 2 C/C++ OpenMP* OpenMP* 9.0 1... 2 2... 3 3OpenMP*... 5 3.1... 5 3.2 OpenMP*... 6 3.3 OpenMP*... 8 4OpenMP*... 9 4.1... 9 4.2 OpenMP*... 9 4.3 OpenMP*... 10 4.4... 10 5OpenMP*... 11 5.1
More informationHP Workstation 総合カタログ
HP Workstation E5 v2 Z Z SFF E5 v2 2 HP Windows Z 3 Performance Innovation Reliability 3 HPZ HP HP Z820 Workstation P.11 HP Z620 Workstation & CPU P.12 HP Z420 Workstation P.13 17.3in WIDE HP ZBook 17
More informationPRIMERGY 性能情報 SPECint2006 / SPECfp2006 測定結果一覧
SPECint / SPECfp 測定結果一覧 しおり より 測定結果を確認したいモデル名を選択してください 07 年 8 月 30 日更新 分類 モデル名 更新日 前版からの変更 ラックサーバ RX00 S7 (0 年 5 月以降発表モデル ) 0 年 0 月 3 日 RX00 S7 (0 年 6 月発表モデル ) RX00
More information! 行行 CPUDSP PPESPECell/B.E. CPUGPU 行行 SIMD [SSE, AltiVec] 用 HPC CPUDSP PPESPE (Cell/B.E.) SPE CPUGPU GPU CPU DSP DSP PPE SPE SPE CPU DSP SPE 2
! OpenCL [Open Computing Language] 言 [OpenCL C 言 ] CPU, GPU, Cell/B.E.,DSP 言 行行 [OpenCL Runtime] OpenCL C 言 API Khronos OpenCL Working Group AMD Broadcom Blizzard Apple ARM Codeplay Electronic Arts Freescale
More information12 PowerEdge PowerEdge Xeon E PowerEdge 11 PowerEdge DIMM Xeon E PowerEdge DIMM DIMM 756GB 12 PowerEdge Xeon E5-
12ways-12th Generation PowerEdge Servers improve your IT experience 12 PowerEdge 12 1 6 2 GPU 8 4 PERC RAID I/O Cachecade I/O 5 Dell Express Flash PCIe SSD 6 7 OS 8 85.5% 9 Dell OpenManage PowerCenter
More informationdevelop
SCore SCore 02/03/20 2 1 HA (High Availability) HPC (High Performance Computing) 02/03/20 3 HA (High Availability) Mail/Web/News/File Server HPC (High Performance Computing) Job Dispatching( ) Parallel
More informationEGunGPU
Super Computing in Accelerator simulations - Electron Gun simulation using GPGPU - K. Ohmi, KEK-Accel Accelerator Physics seminar 2009.11.19 Super computers in KEK HITACHI SR11000 POWER5 16 24GB 16 134GFlops,
More informationIPSJ SIG Technical Report iphone iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Proc
iphone 1 1 1 iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Processing Unit)., AR Realtime Natural Feature Tracking Library for iphone Makoto
More informationインテル(R) Visual Fortran Composer XE
Visual Fortran Composer XE 1. 2. 3. 4. 5. Visual Studio 6. Visual Studio 7. 8. Compaq Visual Fortran 9. Visual Studio 10. 2 https://registrationcenter.intel.com/regcenter/ w_fcompxe_all_jp_2013_sp1.1.139.exe
More informationIEEE HDD RAID MPI MPU/CPU GPGPU GPU cm I m cm /g I I n/ cm 2 s X n/ cm s cm g/cm
Neutron Visual Sensing Techniques Making Good Use of Computer Science J-PARC CT CT-PET TB IEEE HDD RAID MPI MPU/CPU GPGPU GPU cm I m cm /g I I n/ cm 2 s X n/ cm s cm g/cm cm cm barn cm thn/ cm s n/ cm
More informationDO 時間積分 START 反変速度の計算 contravariant_velocity 移流項の計算 advection_adams_bashforth_2nd DO implicit loop( 陰解法 ) 速度勾配, 温度勾配の計算 gradient_cell_center_surface 速
1 1, 2 1, 2 3 2, 3 4 GP LES ASUCA LES NVIDIA CUDA LES 1. Graphics Processing Unit GP General-Purpose SIMT Single Instruction Multiple Threads 1 2 3 4 1),2) LES Large Eddy Simulation 3) ASUCA 4) LES LES
More informationOpenMP (1) 1, 12 1 UNIX (FUJITSU GP7000F model 900), 13 1 (COMPAQ GS320) FUJITSU VPP5000/64 1 (a) (b) 1: ( 1(a))
OpenMP (1) 1, 12 1 UNIX (FUJITSU GP7000F model 900), 13 1 (COMPAQ GS320) FUJITSU VPP5000/64 1 (a) (b) 1: ( 1(a)) E-mail: {nanri,amano}@cc.kyushu-u.ac.jp 1 ( ) 1. VPP Fortran[6] HPF[3] VPP Fortran 2. MPI[5]
More informationHP Workstation 総合カタログ
HP Workstation Z HP 6 Z HP HP Z840 Workstation P.9 HP Z640 Workstation & CPU P.10 HP Z440 Workstation P.11 17.3in WIDE HP ZBook 17 G2 Mobile Workstation P.15 15.6in WIDE HP ZBook 15 G2 Mobile Workstation
More informationTSUBAME2.0 における GPU の 活用方法 東京工業大学学術国際情報センター丸山直也第 10 回 GPU コンピューティング講習会 2011 年 9 月 28 日
TSUBAME2.0 における GPU の 活用方法 東京工業大学学術国際情報センター丸山直也第 10 回 GPU コンピューティング講習会 2011 年 9 月 28 日 目次 1. TSUBAMEのGPU 環境 2. プログラム作成 3. プログラム実行 4. 性能解析 デバッグ サンプルコードは /work0/gsic/seminars/gpu- 2011-09- 28 からコピー可能です 1.
More informationMPI usage
MPI (Version 0.99 2006 11 8 ) 1 1 MPI ( Message Passing Interface ) 1 1.1 MPI................................. 1 1.2............................... 2 1.2.1 MPI GATHER.......................... 2 1.2.2
More information倍々精度RgemmのnVidia C2050上への実装と応用
.. maho@riken.jp http://accc.riken.jp/maho/,,, 2011/2/16 1 - : GPU : SDPA-DD 10 1 - Rgemm : 4 (32 ) nvidia C2050, GPU CPU 150, 24GFlops 25 20 GFLOPS 15 10 QuadAdd Cray, QuadMul Sloppy Kernel QuadAdd Cray,
More informationインテル(R) C++ Composer XE 2011 Windows版 入門ガイド
C++ Composer XE 2011 Windows* エクセルソフト株式会社 www.xlsoft.com Rev. 1.2 (2011/05/03) Copyright 1998-2011 XLsoft Corporation. All Rights Reserved. 1 / 70 ... 4... 5... 6... 8 /... 8... 10 /... 11... 11 /... 13
More informationXACCの概要
2 global void kernel(int a[max], int llimit, int ulimit) {... } : int main(int argc, char *argv[]){ MPI_Int(&argc, &argc); MPI_Comm_rank(MPI_COMM_WORLD, &rank); MPI_Comm_size(MPI_COMM_WORLD, &size); dx
More informationCCS HPCサマーセミナー 並列数値計算アルゴリズム
大規模系での高速フーリエ変換 2 高橋大介 daisuke@cs.tsukuba.ac.jp 筑波大学計算科学研究センター 2016/6/2 計算科学技術特論 B 1 講義内容 並列三次元 FFT における自動チューニング 二次元分割を用いた並列三次元 FFT アルゴリズム GPU クラスタにおける並列三次元 FFT 2016/6/2 計算科学技術特論 B 2 並列三次元 FFT における 自動チューニング
More informationフカシギおねえさん問題の高速計算アルゴリズム
JST ERATO 2013/7/26 Joint work with 1 / 37 1 2 3 4 5 6 2 / 37 1 2 3 4 5 6 3 / 37 : 4 / 37 9 9 6 10 10 25 5 / 37 9 9 6 10 10 25 Bousquet-Mélou (2005) 19 19 3 1GHz Alpha 8 Iwashita (Sep 2012) 21 21 3 2.67GHz
More informationPresentation Title
並列計算 並列実行による高速化ソリューション MathWorks Japan アプリケーションエンジニアリング部アプリケーションエンジニア吉田剛士 2012 The MathWorks, Inc. 1 アジェンダ MATLAB R2012b ハイライト PCT / MDCS 新機能ハイライト Simulink プロダクトの並列化 まとめ 2 MATLAB R2012b のハイライト 1 新しいデスクトップ
More information1 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 informationOpenMP¤òÍѤ¤¤¿ÊÂÎó·×»»¡Ê£²¡Ë
2013 5 30 (schedule) (omp sections) (omp single, omp master) (barrier, critical, atomic) program pi i m p l i c i t none integer, parameter : : SP = kind ( 1. 0 ) integer, parameter : : DP = selected real
More informationIPSJ SIG Technical Report Vol.2014-MBL-70 No.20 Vol.2014-UBI-41 No /3/14 1,a) Yuko Hirabe 1,a) Mai Tsuda 1 Yutaka Arakawa 1 Keiichi Yasum
1,a) 1 1 1 Yuko Hirabe 1,a) Mai Tsuda 1 Yutaka Arakawa 1 Keiichi Yasumoto 1 1. A) B) C) [1] 3 A) B) GPS (Global Positioning System) GPS 1 Nara Institute of Science and Technology 8916-5, Takayama, Ikoma,
More informationVXPRO R1400® ご提案資料
Intel Core i7 プロセッサ 920 Preliminary Performance Report ノード性能評価 ノード性能の評価 NAS Parallel Benchmark Class B OpenMP 版での性能評価 実行スレッド数を 4 で固定 ( デュアルソケットでは各プロセッサに 2 スレッド ) 全て 2.66GHz のコアとなるため コアあたりのピーク性能は同じ 評価システム
More informationuntitled
Oracle RAC 10gRAC Agenda 1. Why Oracle on Dell Dell Oracle on Linux Dell Oracle Dell Oracle 2. Oracle Clustering Solution Oracle Real Application Cluster 3. Case Study 4. Oracle RAC Solution on Dell Oracle
More informationHP High Performance Computing(HPC)
HP High Performance Computing HPC HPC HPC HPC HPC 1000 HPHPC HPC HP HPC HPC HPCHP HPC HP HPHPC HPC HP HPC HP IT IDCHP HPC 4 1 HPC HPCNo.1 HPCTOP5002008 6 HP 183 37% HP HPCHP B 1 Other 2Q08 HPC 2 20% 27%
More informationメモリ階層構造を考慮した大規模グラフ処理の高速化
, CREST ERATO 0.. (, CREST) ERATO / 8 Outline NETAL (NETwork Analysis Library) NUMA BFS raph500, reenraph500 Kronecker raph Level Synchronized parallel BFS Hybrid Algorithm for Parallel BFS NUMA Hybrid
More informationsg_lenovo_os.xlsx
System x OS System Guide Windows Server 1/41 2/41 3/41 4/41 Lenovo OEMRed Hat Enterprise Linux 5/41 6/41 7/41 8/41 9/41 10/41 11/41 12/41 13/41 14/41 15/41 16/41 VMware Lenovo 17/41 18/41 19/41 20/41 21/41
More information[4] ACP (Advanced Communication Primitives) [1] ACP ACP [2] ACP Tofu UDP [3] HPC InfiniBand InfiniBand ACP 2 ACP, 3 InfiniBand ACP 4 5 ACP 2. ACP ACP
InfiniBand ACP 1,5,a) 1,5,b) 2,5 1,5 4,5 3,5 2,5 ACE (Advanced Communication for Exa) ACP (Advanced Communication Primitives) HPC InfiniBand ACP InfiniBand ACP ACP InfiniBand Open MPI 20% InfiniBand Implementation
More informationPowerPoint Presentation
Its Concept and Architecture Hiroshi Nakashima (Kyoto U.) with cooperation of Mitsuhisa Sato (U. Tsukuba) Taisuke Boku (U. Tsukuba) Yutaka Ishikawa (U. Tokyo) Contents Alliance Who & Why Allied? Specification
More informationShonan 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マルチコアPCクラスタ環境におけるBDD法のハイブリッド並列実装
2010 GPGPU 2010 9 29 MPI/Pthread (DDM) DDM CPU CPU CPU CPU FEM GPU FEM CPU Mult - NUMA Multprocessng Cell GPU Accelerator, GPU CPU Heterogeneous computng L3 cache L3 cache CPU CPU + GPU GPU L3 cache 4
More information211 年ハイパフォーマンスコンピューティングと計算科学シンポジウム Computing Symposium 211 HPCS /1/18 a a 1 a 2 a 3 a a GPU Graphics Processing Unit GPU CPU GPU GPGPU G
211 年ハイパフォーマンスコンピューティングと計算科学シンポジウム Computing Symposium 211 HPCS211 211/1/18 GPU 4 8 BLAS 4 8 BLAS Basic Linear Algebra Subprograms GPU Graphics Processing Unit 4 8 double 2 4 double-double DD 4 4 8 quad-double
More informationRun-Based Trieから構成される 決定木の枝刈り法
Run-Based Trie 2 2 25 6 Run-Based Trie Simple Search Run-Based Trie Network A Network B Packet Router Packet Filtering Policy Rule Network A, K Network B Network C, D Action Permit Deny Permit Network
More information26 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 informationIPSJ 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 informationFINAL PROGRAM 22th Annual Workshop SWoPP / / 2009 Sendai Summer United Workshops on Parallel, Distributed, and Cooperative Processing
FINAL PROGRAM 22th Annual Workshop SWoPP 2009 2009 / / 2009 Sendai Summer United Workshops on Parallel, Distributed, and Cooperative Processing 2009 8 4 ( ) 8 6 ( ) 981-0933 1-2-45 http://www.forestsendai.jp
More information2). 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 information21 20 20413525 22 2 4 i 1 1 2 4 2.1.................................. 4 2.1.1 LinuxOS....................... 7 2.1.2....................... 10 2.2........................ 15 3 17 3.1.................................
More informationMicrosoft PowerPoint - ★13_日立_清水.ppt
PC クラスタワークショップ in 京都 日立テクニカルコンピューティングクラスタ 2008/7/25 清水正明 日立製作所中央研究所 1 目次 1 2 3 4 日立テクニカルサーバラインナップ SR16000 シリーズ HA8000-tc/RS425 日立自動並列化コンパイラ 2 1 1-1 日立テクニカルサーバの歴史 最大性能 100TF 10TF 30 年間で百万倍以上の向上 (5 年で 10
More informationuntitled
AMD HPC GP-GPU Opteron HPC 2 1 AMD Opteron 85 FLOPS 10,480 TOP500 16 T2K 95 FLOPS 10,800 140 FLOPS 15,200 61 FLOPS 7,200 3 Barcelona 4 2 AMD Opteron CPU!! ( ) L1 5 2003 2004 2005 2006 2007 2008 2009 2010
More information[1] [2] [3] (RTT) 2. Android OS Android OS Google OS 69.7% [4] 1 Android Linux [5] Linux OS Android Runtime Dalvik Dalvik UI Application(Home,T
LAN Android Transmission-Control Middleware on multiple Android Terminals in a WLAN Environment with consideration of Round Trip Time Ai HAYAKAWA, Saneyasu YAMAGUCHI, and Masato OGUCHI Ochanomizu University
More information1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D
3DCG 1) ( ) 2) 2) 1) 2) Real-Time Line Drawing Using Image Processing and Deforming Process Together in 3DCG Takeshi Okuya 1) Katsuaki Tanaka 2) Shigekazu Sakai 2) 1) Department of Intermedia Art and Science,
More informationHP Workstation Xeon 5600
HP Workstation Xeon 5600 HP 2 No.1 HP 5 3 Z 2No.1 HP :IDC's Worldwide Quarterly Workstation Tracker, 2009 Q4 14.0in Wide HP EliteBook 8440w/CT Mobile Workstation 15.6in Wide HP EliteBook 8540w Mobile Workstation
More informationスライド 1
SoC -SWG ATE -SWG 2004 2005 1 SEAJ 2 VLSI 3 How can we improve manageability of the divergence between validation and manufacturing equipment? What is the cost and capability optimal SOC test approach?
More informationインテル(R) Visual Fortran Composer XE 2013 Windows版 入門ガイド
Visual Fortran Composer XE 2013 Windows* エクセルソフト株式会社 www.xlsoft.com Rev. 1.1 (2012/12/10) Copyright 1998-2013 XLsoft Corporation. All Rights Reserved. 1 / 53 ... 3... 4... 4... 5 Visual Studio... 9...
More informationHPE Moonshot System ~ビッグデータ分析&モバイルワークプレイスを新たなステージへ~
Brochure HPE Moonshot System HPE Moonshot System 4.3U 45 HPE Moonshot System Xeon & HPE Moonshot System HPE Moonshot System HPE HPE Moonshot System &IoT & SoC Xeon D-1500 Broadwell-DE HPE ProLiant m510
More informationAMD/ATI Radeon HD 5870 GPU DEGIMA LINPACK HD 5870 GPU DEGIMA LINPACK GFlops/Watt GFlops/Watt Abstract GPU Computing has lately attracted
DEGIMA LINPACK Energy Performance for LINPACK Benchmark on DEGIMA 1 AMD/ATI Radeon HD 5870 GPU DEGIMA LINPACK HD 5870 GPU DEGIMA LINPACK 1.4698 GFlops/Watt 1.9658 GFlops/Watt Abstract GPU Computing has
More information<834E C F D E657073>
AUTUMN from 2009.September 2009 CLARA ONLINE GROUP Service Catalogue Information Topic Standard 3 Dell PowerEdge R610 Professional3 & Advance 3 Dell PowerEdge R710 Standard 3 Standard -Windows 3 Dell PowerEdge
More informationDell Precision CADCG Dell Precision if 2012 if2012 T7600T5600T36003 ISV 2
Dell Precision T7600 T5600 T3600 T1650 M6700 M4700 R5500 www.dell.co.jp September / 2012 Dell Precision CADCG Dell Precision if 2012 if2012 T7600T5600T36003 ISV 2 Dell Precision CADCG Dell Precision Dell
More information2003 10 2003.10.21 70.400 YES NO NO YES YES NO YES NO YES NO YES NO NO 20 20 50m 12m 12m 0.1 ha 4.0m 6.0m 0.3 ha 4.0m 6.0m 6.0m 0.3 0.6ha 4.5m 6.0m 6.0m 0.6 1.0ha 5.5m 6.5m 6.0m 50m 18 OK a a a a b a
More informationVer. 3.8 Ver NOTE E v3 2.4GHz, 20M cache, 8.00GT/s QPI,, HT, 8C/16T 85W E v3 1.6GHz, 15M cache, 6.40GT/s QPI,
PowerEdge T630 Contents RAID /RAID & PCIe GPU OS v3.8 Apr. 2017 P3-5 P6 P7 P8-9 P10-11 P12-16 P17-79 P80-85 P86-87 P88-90 P90 P91-92 P93-96 P97-100 P101-107 P107-108 P109-110 2017 4 28 2016 4 22 Ver. 3.8
More information26102 (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