Files
rocm-systems/tools/TransferBench/example.cfg
T
gilbertlee-amd ee262819a7 New TransferBench features (#273)
* Upgrading TransferBench to support pinned CPU memory, expanding functionality, cleaning up env vars
2020-09-25 12:20:48 -06:00

40 строки
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#Configfile Format:
#==================
#A Link is defined as a uni-directional transfer from src memory location to dst memory location
#Each single line in the configuration file defines a set of Links to run in parallel
#There are two ways to specify the configuration file:
#1) Basic
# The basic specification assumes the same number of threadblocks/CUs used per link
# A positive number of Links is specified followed by that number of triplets describing each Link
#Links #CUs (GPUIndex1 srcMem1 dstMem1) ... (GPUIndexL srcMemL dstMemL)
#2) Advanced
# The advanced specification allows different number of threadblocks/CUs used per Link
# A negative number of links is specified, followed by quadruples describing each Link
# -#Links (GPUIndex1 #CUs1 srcMem1 dstMem1) ... (GPUIndexL #CUsL srcMemL dstMemL)
#Argument Details:
# #Links : Number of Links to be run in parallel
# #CUs : Number of threadblocks/CUs to use for a Link
# GpuIndex: 0-indexed GPU id executing the Link
# srcMemL : Source memory location (Where the data is to be read from). Ignored in memset mode
# dstMemL : Destination memory location (Where the data is to be written to)
# Memory locations are specified by a character indicating memory type, followed by GPU device index (0-indexed)
# Supported memory locations are:
# - P: Pinned host memory (on CPU, on NUMA node closest to provided GPU index)
# - G: Global device memory (on GPU)
#Round brackets may be included for human clarity, but will be ignored
#Examples:
#1 4 (0 G0 G1) Single Link that uses 4 CUs on GPU 0 that reads memory from GPU 0 and copies it to memory on GPU 1
#1 4 (0 G1 G0) Single Link that uses 4 CUs on GPU 0 that reads memory from GPU 1 and copies it to memory on GPU 0
#1 4 (2 P0 G2) Single Link that uses 4 CUs on GPU 2 that reads memory from CPU 0 and copies it to memory on GPU 2
#2 4 (0 G0 G1) (1 G1 G0) Runs 2 Links in parallel. GPU 0 - > GPU1, and GP1 -> GPU 0, each with 4 CUs
#-2 (0 G0 G1 4) (1 G1 G0 2) Runs 2 Links in parallel. GPU 0 - > GPU 1 using four CUs, and GPU1 -> GPU 0 using two CUs
# Single link between GPUs 0 and 1
1 1 (0 G0 G1)