June 2013
Intermediate to advanced
528 pages
13h 11m
English
Content preview from The CUDA Handbook: A Comprehensive Guide to GPU ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 8. Streaming Multiprocessors
The streaming multiprocessors (SMs) are the part of the GPU that runs our CUDA kernels. Each SM contains the following.
• Thousands of registers that can be partitioned among threads of execution
• Several caches:
– Shared memory for fast data interchange between threads
– Constant cache for fast broadcast of reads from constant memory
– Texture cache to aggregate bandwidth from texture memory
– L1 cache to reduce latency to local or global memory
• Warp schedulers that can quickly switch contexts between threads and issue instructions to warps that are ready to execute
• Execution cores for integer and floating-point operations:
– Integer and single-precision floating point operations
– Double-precision floating ...
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