portelli/Grid
1
0
Fork 0
mirror of https://github.com/paboyle/Grid.git synced 2026-04-24 12:36:12 +01:00
Code Releases Activity
3,821 Commits 92 Branches 14 Tags
19b527e83fa17ba1006ca433586d7ec36454b625
Commit Graph

3821 Commits

This Branch
This Branch
All Branches
Author SHA1 Message Date
Peter Boyle 19b527e83f Better extract merge for GPU. Let the SIMD header files define the pointer type for 
access. GPU redirects through builtin float2, double2 for complex
 2018-07-05 07:05:13 -04:00
Peter Boyle 4730d4692a Fast lane extract, saturates bandwidth on Volta for SU3 benchmarks 2018-07-05 07:03:33 -04:00
Peter Boyle 1bb456c0c5 Minor GPU vector width change 2018-07-05 07:02:04 -04:00
Peter Boyle 4b04ae3611 Printing improvement 2018-07-05 06:59:38 -04:00
Peter Boyle 2f776d51c6 Gpu specific benchmark saturates memory. Can enhance Grid to do this for expressions, 
but a bitof (known) work.
 2018-07-05 06:58:37 -04:00
paboyle 3a50afe7e7 GPU dslash updates 2018-06-27 22:32:21 +01:00
paboyle f8e880b445 Loop for s and xyzt offlow 2018-06-27 21:49:57 +01:00
paboyle 3e947527cb Move looping over "s" and "site" into kernels for GPU optimisatoin 2018-06-27 21:29:43 +01:00
paboyle 31f65beac8 Move site and Ls looping into the kernels 2018-06-27 21:28:48 +01:00
paboyle 38e2a32ac9 Single SIMD lane operations for CUDA 2018-06-27 21:28:06 +01:00
paboyle efa84ca50a Keep Cuda 9.1 happy 2018-06-27 21:27:32 +01:00
paboyle 5e96d6d04c Keep CUDA happy 2018-06-27 21:27:11 +01:00
paboyle df30bdc599 CUDA happy 2018-06-27 21:26:49 +01:00
paboyle 7f45222924 Diagnostics on memory alloc fail 2018-06-27 21:26:20 +01:00
paboyle dd891f5e3b Use NVCC to suppress device Eigen 2018-06-27 21:25:17 +01:00
paboyle 6c97a6a071 Coalescing version of the kernel 2018-06-13 20:52:29 +01:00
paboyle 73bb2d5128 Ugly hack to speed up compile on GPU; we don't use the hand kernels on GPU anyway so why compile 2018-06-13 20:35:28 +01:00
paboyle b710fec6ea Gpu code first version of specialised kernel 2018-06-13 20:34:39 +01:00
paboyle b2a8cd60f5 Doubled gauge field is useful 2018-06-13 20:27:47 +01:00
paboyle 867ee364ab Explicit instantiation hooks 2018-06-13 20:27:12 +01:00
paboyle 25becc9324 GPU tweaks for benchmarking; really necessary? 2018-06-13 20:26:07 +01:00
paboyle 94d1ae4c82 Some prep work for GPU shared memory. Need to be careful, as will try GPU direct 
RDMA and inter-GPU memory sharing on SUmmit later
 2018-06-13 20:24:06 +01:00
paboyle 2075b177ef CUDA_ARCH more carefule treatment 2018-06-13 20:22:34 +01:00
paboyle 847c761ccc Move sfw IEEE fp16 into central location 2018-06-13 20:22:01 +01:00
paboyle 8287ed8383 New GPU vector targets 2018-06-13 20:21:35 +01:00
paboyle e6be7416f4 Use managed memory 2018-06-13 20:14:00 +01:00
paboyle 26863b6d95 User Managed memory 2018-06-13 20:13:42 +01:00
paboyle ebd730bd54 Adding 2D loops 2018-06-13 20:13:01 +01:00
paboyle 066be31a3b Optional GPU target SIMD types; work in progress and trying experiments 2018-06-13 20:07:55 +01:00
paboyle 7a4c142955 Add GPU specific simd targets 2018-06-13 19:55:30 +01:00
Peter Boyle eb7d34a4cc GPU version 2018-05-14 19:41:47 -04:00
Peter Boyle aab27a655a Start of GPU kernels 2018-05-14 19:41:17 -04:00
Peter Boyle 93280bae85 Gpu option 2018-05-14 19:40:58 -04:00
Peter Boyle c5f93abcd7 GPU clean up 2018-05-14 19:40:33 -04:00
Peter Boyle d5deef782d Useful debug comments 2018-05-14 19:39:52 -04:00
Peter Boyle 5f50473c0d Clean up 2018-05-14 19:39:11 -04:00
Peter Boyle 13f50406e3 Suppress print statement 2018-05-12 18:00:00 -04:00
Peter Boyle 09cd46d337 Lane by Lane operation 2018-05-12 17:59:35 -04:00
Peter Boyle d3f51065c2 Give command line control of blocks/threads split 2018-05-12 17:58:56 -04:00
Peter Boyle 925ac4173d Thread count control for warp scheduler thingy doodaa thing 2018-05-12 17:58:22 -04:00
Peter Boyle eb921041d0 Perf count control 2018-05-12 17:57:32 -04:00
Peter Boyle 87c5c0271b Ficxing eigen 2018-04-16 19:08:07 -04:00
Peter Boyle a3f5a13591 Better Eigen handling 2018-04-16 18:02:55 -04:00
Peter Boyle 9fe28f00eb Eigen sim link off head revision 2018-04-16 17:54:46 -04:00
Peter Boyle a8a0bb85cc Control scalar execution or vector under generic. Disable Eigen vectorisation on powerpc / SUmmit 2018-04-12 12:32:57 -04:00
Peter Boyle 6411caad67 work distribution 2018-04-12 11:41:41 -04:00
Peter Boyle 7533035a99 Control Eigen vectorisatoin 2018-04-12 11:40:56 -04:00
Peter Boyle b15db11c60 Kernels -> pure static object to enable device execution 2018-03-24 19:35:20 -04:00
Peter Boyle f6077f9d48 Kernels -> not instantiaed otherwise object ref on GPU 2018-03-24 19:33:44 -04:00
Peter Boyle 572954ef12 Kernels not an instantiated object, just static 2018-03-24 19:33:13 -04:00