CUDA Programming: A Developer's Guide to Parallel Computing with GPUsNewnes, 28 груд. 2012 р. - 600 стор. If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.
|
З цієї книги
Результати 1-5 із 41
Сторінка 2
... GB/s 4.8 GB/s 6.4 GT/s 25.6 GB/s 6.4 GB/s (extreme edition) Note: QPI 1⁄4 Quick Path Interconnect. You run into the first problem with memory bandwidth when you consider the processor clock speed. If you take a processor running at 4 ...
... GB/s 4.8 GB/s 6.4 GT/s 25.6 GB/s 6.4 GB/s (extreme edition) Note: QPI 1⁄4 Quick Path Interconnect. You run into the first problem with memory bandwidth when you consider the processor clock speed. If you take a processor running at 4 ...
Сторінка 16
... (GB/s) Power (Watts) 9800 GT G92 96 2GB 504 57 125 9800 GTX G92 128 2GB 648 70 140 9800 GX2 G92 256 1GB 1152 2 x 64 197 260 G200 216 2GB 804 110 182 285 G200 240 2GB 1062 159 204 295 G200 480 1.8GB 1788 2 x 110 289 470 GF100 448 1.2GB ...
... (GB/s) Power (Watts) 9800 GT G92 96 2GB 504 57 125 9800 GTX G92 128 2GB 648 70 140 9800 GX2 G92 256 1GB 1152 2 x 64 197 260 G200 216 2GB 804 110 182 285 G200 240 2GB 1062 159 204 295 G200 480 1.8GB 1788 2 x 110 289 470 GF100 448 1.2GB ...
Сторінка 37
... GB/s. PCI-E 3.0 had just become available at the time of this writing and should significantly improve the bandwidth ... GB/s full-duplex bus, meaning we get the same upload and download speed, at the same time. Thus, we can transfer 5 ...
... GB/s. PCI-E 3.0 had just become available at the time of this writing and should significantly improve the bandwidth ... GB/s full-duplex bus, meaning we get the same upload and download speed, at the same time. Thus, we can transfer 5 ...
Сторінка 38
... GB/s) Core 1 Core 2 Core 3 Core 4 Northbridge Southbridge Raid drive SATA2 (300MB/s) Ethernet 10/100/1000 Bits/s FS B F S B PCI-E 2.0 Bus (10 GB/s) GPU 0 GPU 1 GPU 2 GPU 3 GPU 4 GPU 5 GPU 6 GPU 7 DRAM Memory (DDR2/DDR3-1600), 24GB, 30GB ...
... GB/s) Core 1 Core 2 Core 3 Core 4 Northbridge Southbridge Raid drive SATA2 (300MB/s) Ethernet 10/100/1000 Bits/s FS B F S B PCI-E 2.0 Bus (10 GB/s) GPU 0 GPU 1 GPU 2 GPU 3 GPU 4 GPU 5 GPU 6 GPU 7 DRAM Memory (DDR2/DDR3-1600), 24GB, 30GB ...
Сторінка 39
... s or 6.4 GT/s in the Extreme/Xeon processor versions. With the X58 and 1366 processor socket, a total of 36 PCI-E ... GB/s theoretical, 10 GB/s actual bandwidth. Intel has gone down the route of integrating more and more into the CPU ...
... s or 6.4 GT/s in the Extreme/Xeon processor versions. With the X58 and 1366 processor socket, a total of 36 PCI-E ... GB/s theoretical, 10 GB/s actual bandwidth. Intel has gone down the route of integrating more and more into the CPU ...
Зміст
Chapter 8 MultiCPU and MultiGPU Solutions | 267 |
Chapter 9 Optimizing Your Application | 305 |
Chapter 10 Libraries and SDK | 441 |
Chapter 11 Designing GPUBased Systems | 503 |
Chapter 12 Common Problems Causes and Solutions | 527 |
Index | 565 |
Інші видання - Показати все
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs Shane Cook Обмежений попередній перегляд - 2012 |
Загальні терміни та фрази
256 threads algorithm allocate application array atomic atomic operations blockDim.x blockIdx.x bytes calculation compiler compute 2.x const int const u32 constant memory copy CUDA CALL cuda CUDA cores dataset device device_num elements example execution Fermi Figure function GB/s GeForce GTX 470:GMEM global memory GMEM hardware host memory ID:0 GeForce GTX InfiniBand instruction issue iterations Kepler kernel L1 cache latency Linux look loop malloc Memcpy memory access memory bandwidth memory fetch merge sort node num_elem num_elements num_threads number of blocks number of threads NVIDIA OpenMP operation optimization output Parallel Nsight parameter PCI-E performance pointer prefix sum problem processor radix sort reduce registers result serial shared memory SIMD simply single SP SP SP speedup stream synchronization Tesla threadIdx.x threads per block transfer typically uint4 unsigned int usage version is faster void warp write þ¼