aboutsummaryrefslogtreecommitdiffstats
path: root/libsmctrl_test_gpc_info.c
diff options
context:
space:
mode:
authorJoshua Bakita <bakitajoshua@gmail.com>2025-05-05 03:30:13 -0400
committerJoshua Bakita <bakitajoshua@gmail.com>2025-05-09 06:03:11 -0400
commit97e97dc9d55e71edbc2031e6a509a7cc17abe168 (patch)
tree645476af274ed5716204c27057cd6c8c1f4dfca2 /libsmctrl_test_gpc_info.c
parentc250928930cb5c95bffc878913301f9a5d4efcb7 (diff)
Major update for ECRTS'25: fix TPC to GPU mapping and add a "supreme" mask
These updates are featured in the paper: J. Bakita and J. H. Anderson, “Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems”, Proceedings of the 37th Euromicro Conference on Real-Time Systems (ECRTS), to appear, Jul 2025. They: 1. Fix reported GPC to TPC mappings (requires nvdebug update). 2. Add support for a "supreme" mask, which overrides all others and can be set on a per-process basis via an environment variable, and optionally modified at runtime via the nvtaskset utility. 3. Add test for the supreme mask.
Diffstat (limited to 'libsmctrl_test_gpc_info.c')
-rw-r--r--libsmctrl_test_gpc_info.c72
1 files changed, 64 insertions, 8 deletions
diff --git a/libsmctrl_test_gpc_info.c b/libsmctrl_test_gpc_info.c
index 9b2b963..558b80a 100644
--- a/libsmctrl_test_gpc_info.c
+++ b/libsmctrl_test_gpc_info.c
@@ -1,7 +1,18 @@
1// Copyright 2024 Joshua Bakita 1// Copyright 2024-2025 Joshua Bakita
2// Obtain and print the correspondence between TPCs and GPCs for a given GPU.
3//
4// Known issues:
5// - If CUDA cannot see the same number of GPUs as the nvdebug kernel module,
6// the passed GPU ID may not properly correspond to to an ID an CUDA. This
7// will cause us to fail to initialize a context on the right device, and
8// may cause the test to terminate due to no initialized context. This should
9// only happen if some of the attached GPUs are too old or new for CUDA.
2#define _GNU_SOURCE 10#define _GNU_SOURCE
11#include <cuda.h>
12
3#include <error.h> 13#include <error.h>
4#include <errno.h> 14#include <errno.h>
15#include <math.h>
5#include <stdio.h> 16#include <stdio.h>
6#include <stdint.h> 17#include <stdint.h>
7#include <stdlib.h> 18#include <stdlib.h>
@@ -11,9 +22,9 @@
11 22
12int main(int argc, char** argv) { 23int main(int argc, char** argv) {
13 uint32_t num_gpcs = 0, num_tpcs = 0; 24 uint32_t num_gpcs = 0, num_tpcs = 0;
14 uint64_t* masks = NULL; 25 uint128_t* masks = NULL;
15 int res; 26 int res, print_width, gpu_id;
16 int gpu_id = 0; 27 CUcontext ctx;
17 // Optionally support specifying the GPU ID to query via an argument 28 // Optionally support specifying the GPU ID to query via an argument
18 // Important: This GPU ID must match the ID used by the nvdebug module. See 29 // Important: This GPU ID must match the ID used by the nvdebug module. See
19 // the documentation on libsmctrl_get_gpc_info() for details. 30 // the documentation on libsmctrl_get_gpc_info() for details.
@@ -23,12 +34,57 @@ int main(int argc, char** argv) {
23 } 34 }
24 if (argc > 1) 35 if (argc > 1)
25 gpu_id = atoi(argv[1]); 36 gpu_id = atoi(argv[1]);
26 if ((res = libsmctrl_get_gpc_info(&num_gpcs, &masks, gpu_id)) != 0) 37 else
27 error(1, res, "libsmctrl_get_gpc_info() failed"); 38 gpu_id = 0;
39 // Tell CUDA to use PCI device id ordering (to match nvdebug)
40 putenv((char*)"CUDA_DEVICE_ORDER=PCI_BUS_ID");
41 // A CUDA context is required before reading the topology information
42 if ((res = cuInit(0))) {
43 const char* name;
44 cuGetErrorName(res, &name);
45 fprintf(stderr, "%s: Unable to initialize CUDA, error %s\n", program_invocation_name, name);
46 return 1;
47 }
48 if ((res = cuCtxCreate(&ctx, 0, 0))) {
49 const char* name;
50 cuGetErrorName(res, &name);
51 fprintf(stderr, "%s: Unable to create a CUDA context, error %s\n", program_invocation_name, name);
52 return 1;
53 }
54 // Pull topology information from libsmctrl
55 if ((res = libsmctrl_get_gpc_info_ext(&num_gpcs, &masks, gpu_id)) != 0) {
56 error(0, res, "libsmctrl_get_gpc_info() failed");
57 if (res == ENOENT)
58 fprintf(stderr, "%s: Is the nvdebug kernel module loaded?\n", program_invocation_name);
59 if (res == EIO)
60 fprintf(stderr, "%s: Is the GPU powered on, i.e., is there an active context?\n", program_invocation_name);
61 return 1;
62 }
28 printf("%s: GPU%d has %d enabled GPCs.\n", program_invocation_name, gpu_id, num_gpcs); 63 printf("%s: GPU%d has %d enabled GPCs.\n", program_invocation_name, gpu_id, num_gpcs);
64 // Determine how wide the print should be (for pretty-printing)
65 print_width = 0;
66 for (int i = 0; i < num_gpcs; i++) {
67 int shift = 0;
68 while (masks[i] >> shift)
69 shift++;
70 if (shift > print_width)
71 print_width = shift;
72 }
73 // Convert the width to a number of octets, rather than number of bits
74 // (Result of integer divison, +1 if it does not evenly divide)
75 print_width = print_width/4 + !!(print_width % 4);
29 for (int i = 0; i < num_gpcs; i++) { 76 for (int i = 0; i < num_gpcs; i++) {
30 num_tpcs += __builtin_popcountl(masks[i]); 77 // No built-in for 128-bit integers, so split it into two 64-bit ones
31 printf("%s: Mask of %d TPCs associated with GPC %d: %#018lx\n", program_invocation_name, __builtin_popcountl(masks[i]), i, masks[i]); 78 int num_tpcs_local = __builtin_popcountl(masks[i]) + __builtin_popcountl(masks[i] >> 64);
79 num_tpcs += num_tpcs_local;
80 if (print_width > 16)
81 printf("%s: Mask of %d TPCs associated with GPC %d: 0x%0*lx%016lx\n",
82 program_invocation_name, num_tpcs_local, i, print_width - 16,
83 (uint64_t)(masks[i] >> 64), (uint64_t)masks[i]);
84 else
85 printf("%s: Mask of %d TPCs associated with GPC %d: 0x%0*lx\n",
86 program_invocation_name, num_tpcs_local, i, print_width,
87 (uint64_t)masks[i]);
32 } 88 }
33 printf("%s: Total of %u enabled TPCs.\n", program_invocation_name, num_tpcs); 89 printf("%s: Total of %u enabled TPCs.\n", program_invocation_name, num_tpcs);
34 return 0; 90 return 0;