CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
Newnes, 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.
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Table 1.1 Bandwidth on I7 Nehalem Processor QPI Clock Theoretical Bandwidth Per Core 4.8 GT/s (standard part) 19.2 GB/s 4.8 GB/s 6.4 GT/s 25.6 GB/s 6.4 GB/s (extreme edition) Note: QPI ...
Table 1.3 Current Series of NVIDIA GPU Cards GPU Series Device Number of SPs Max Memory GFlops (FMAD) Bandwidth (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 ...
In this case we've assumed a PCI-E 2.0 specification bus, giving an effective transfer rate of 5 GB/s. PCI-E 3.0 had just become available at the time of this writing and should significantly improve the bandwidth available.
Socket 775 - CPU (Pentium 4, Core 2) FSB (12.8 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 ...
The QPI runs at either 4.8 GT/s or 6.4 GT/s in the Extreme/Xeon processor versions. ... The AMD3þ socket paired with the 990FX chipset makes for a good workhorse, as it provides SATA 6 GB/s ports paired with up to four X16 PCI-E slots ...
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Chapter 8 MultiCPU and MultiGPU Solutions
Chapter 9 Optimizing Your Application
Chapter 10 Libraries and SDK
Chapter 11 Designing GPUBased Systems
Chapter 12 Common Problems Causes and Solutions