ver4a/llama.cpp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity
llama.cpp/ggml/src/ggml-cuda
History
Gaurav Garg 517b5ddbf0
CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 
- Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value.
- Prefer vector flash attention kernels over MMA kernel for BS=1

Fixes Issue: #12182
---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-03-19 20:52:06 +01:00
..
template-instances CUDA: optimize FA for GQA + large batches (#12014) 2025-02-22 12:20:17 +01:00
vendors CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
acc.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
acc.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
arange.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
arange.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
argmax.cu cuda : optimize argmax (#10441) 2024-11-21 18:18:50 +01:00
argmax.cuh ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980) 2024-10-03 21:17:26 +03:00
argsort.cu ggml : reduce hash table reset cost (#8698) 2024-07-27 04:41:55 +02:00
argsort.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
binbcast.cu Support pure float16 add/sub/mul/div operations in the CUDA (and CPU) backend (ggml/1121) 2025-03-03 18:18:11 +02:00
binbcast.cuh ggml/examples: add backend support for numerical optimization (ggml/949) 2024-09-20 21:15:05 +03:00
clamp.cu cuda: unary ops as float + de-duplicate (ggml/1130) 2025-03-03 18:18:11 +02:00
clamp.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
CMakeLists.txt CUDA: compress mode option and default to size (#12029) 2025-03-01 12:57:22 +01:00
common.cuh cuda : enable CUDA Graph on CUDA Toolkit < 12.x (#12394) 2025-03-17 20:25:13 +02:00
concat.cu fix: add missing msg in static_assert (#11143) 2025-01-08 20:03:28 +00:00
concat.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
conv-transpose-1d.cu feat: cuda implementation for ggml_conv_transpose_1d (ggml/854) 2024-07-08 12:23:00 +03:00
conv-transpose-1d.cuh feat: cuda implementation for ggml_conv_transpose_1d (ggml/854) 2024-07-08 12:23:00 +03:00
convert.cu CUDA: use arch list for compatibility check (#11775) 2025-02-11 00:17:22 +01:00
convert.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
count-equal.cu ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213) 2024-11-09 08:35:46 +01:00
count-equal.cuh ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980) 2024-10-03 21:17:26 +03:00
cp-async.cuh CUDA: optimize FA for GQA + large batches (#12014) 2025-02-22 12:20:17 +01:00
cpy.cu cuda: Add Q5_1, Q5_0, Q4_1 and Q4_0 to F32 conversion support. (#12000) 2025-02-22 09:43:24 +01:00
cpy.cuh increase cuda_cpy block size (ggml/996) 2024-10-26 10:33:56 +03:00
cross-entropy-loss.cu MUSA: support ARM64 and enable dp4a .etc (#11843) 2025-02-21 09:46:23 +02:00
cross-entropy-loss.cuh ggml/examples: add backend support for numerical optimization (ggml/949) 2024-09-20 21:15:05 +03:00
dequantize.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
diagmask.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
diagmask.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
fattn-common.cuh CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-mma-f16.cuh CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-tile-f16.cu CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-tile-f16.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
fattn-tile-f32.cu CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-tile-f32.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
fattn-vec-f16.cuh CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-vec-f32.cuh CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-wmma-f16.cu CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn-wmma-f16.cuh CUDA: use mma PTX instructions for FlashAttention (#11583) 2025-02-02 19:31:09 +01:00
fattn.cu CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
fattn.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
getrows.cu CUDA: backwards pass for misc. ops, add tests (#11257) 2025-01-16 16:43:38 +01:00
getrows.cuh CUDA: backwards pass for misc. ops, add tests (#11257) 2025-01-16 16:43:38 +01:00
ggml-cuda.cu CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183) 2025-03-19 20:52:06 +01:00
gla.cu llama: add support for QRWKV6 model architecture (#11001) 2025-01-10 09:58:08 +08:00
gla.cuh llama: add support for QRWKV6 model architecture (#11001) 2025-01-10 09:58:08 +08:00
im2col.cu CUDA: fix 1D im2col, add tests (ggml/993) 2024-10-23 16:50:02 +03:00
im2col.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
mma.cuh CUDA: optimize FA for GQA + large batches (#12014) 2025-02-22 12:20:17 +01:00
mmq.cu HIP: Remove GCN from list of devices that avoid MMQ (#11831) 2025-02-12 22:25:28 +01:00
mmq.cuh CUDA: fix logic for V100 + GGML_CUDA_FORCE_MMQ (#12098) 2025-02-28 09:26:43 +01:00
mmv.cu CUDA: support for mat. mul. with ne03 != ne13 (#11656) 2025-02-05 08:58:31 +01:00
mmv.cuh CUDA: remove DMMV, consolidate F16 mult mat vec (#10318) 2024-11-17 09:09:55 +01:00
mmvq.cu CUDA/HIP: refractor mmqv to unify the calculation of nwarps and rows per block between host and device code. (#12177) 2025-03-11 20:16:03 +01:00
mmvq.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
norm.cu llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +08:00
norm.cuh llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +08:00
opt-step-adamw.cu ggml: new optimization interface (ggml/988) 2024-11-17 08:30:29 +02:00
opt-step-adamw.cuh ggml/examples: add backend support for numerical optimization (ggml/949) 2024-09-20 21:15:05 +03:00
out-prod.cu CPU/CUDA: fix (GQA) mul mat back, add CUDA support (#11380) 2025-01-24 12:38:31 +01:00
out-prod.cuh ggml/examples: add backend support for numerical optimization (ggml/949) 2024-09-20 21:15:05 +03:00
pad.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
pad.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
pool2d.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
pool2d.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
quantize.cu cuda : optimize argmax (#10441) 2024-11-21 18:18:50 +01:00
quantize.cuh CUDA: optimize and refactor MMQ (#8416) 2024-07-11 16:47:47 +02:00
rope.cu CUDA: backwards pass for misc. ops, add tests (#11257) 2025-01-16 16:43:38 +01:00
rope.cuh RoPE: fix back, CUDA support for back + noncont. (#11240) 2025-01-15 12:51:37 +01:00
scale.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
scale.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
softmax.cu HIP: fix flash_attn_stream_k_fixup warning (#11604) 2025-02-02 23:48:29 +01:00
softmax.cuh CUDA: backwards pass for misc. ops, add tests (#11257) 2025-01-16 16:43:38 +01:00
sum.cu CUDA: fix CUDART_VERSION checks (#11821) 2025-02-12 13:16:39 +01:00
sum.cuh tests: add gradient tests for all backends (ggml/932) 2024-09-08 11:05:55 +03:00
sumrows.cu sync : ggml 2024-08-27 22:41:27 +03:00
sumrows.cuh sync : ggml 2024-08-27 22:41:27 +03:00
tsembd.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
tsembd.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
unary.cu cuda: unary ops as float + de-duplicate (ggml/1130) 2025-03-03 18:18:11 +02:00
unary.cuh cuda/cpu: Increase support for fp16 unary operations (ggml/1125) 2025-03-03 18:18:11 +02:00
upscale.cu llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
upscale.cuh llama : reorganize source code + improve CMake (#8006) 2024-06-26 18:33:02 +03:00
vecdotq.cuh CUDA: MMQ code deduplication + iquant support (#8495) 2024-07-20 22:25:26 +02:00
wkv.cu llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +08:00
wkv.cuh llama: Add support for RWKV v7 architecture (#12412) 2025-03-18 07:27:50 +08:00