hipSPARSELt 0.2.1 for ROCm 6.2.4

hipSPARSELt code for ROCm 6.2.4 did not change. The library was rebuilt for the updated ROCm 6.2.4 stack.

hipSPARSELt 0.2.1 for ROCm 6.2.2

hipSPARSELt code for ROCm 6.2.2 did not change. The library was rebuilt for the updated ROCm 6.2.2 stack.

hipSPARSELt 0.2.1 for ROCm 6.2.1

hipSPARSELt code for ROCm 6.2.1 did not change. The library was rebuilt for the updated ROCm 6.2.1 stack.

hipSPARSELt 0.2.1 for ROCm 6.2.0

hipSPARSELt code for ROCm 6.2.0 did not change. The library was rebuilt for the updated ROCm 6.2.0 stack.

hipSPARSELt 0.2.0 for ROCm 6.1.2

hipSPARSELt code for ROCm 6.1.2 did not change. The library was rebuilt for the updated ROCm 6.1.2 stack.

hipSPARSELt 0.2.0 for ROCm 6.1.1

hipSPARSELt code for ROCm 6.1.1 did not change. The library was rebuilt for the updated ROCm 6.1.1 stack.

hipSPARSELt 0.2.0 for ROCm 6.1.0

Added

• Support Matrix B is a Structured Sparsity Matrix.

hipSPARSELt 0.1.0 for ROCm 6.0.2

Added

• Enable hipSPARSELt APIs
• Support platform: gfx940, gfx941, gfx942
• Support problem type: fp16, bf16, int8
• Support activation: relu, gelu, abs, sigmod, tanh
• Support gelu scaling
• Support bias vector
• Support batched computation (single sparse x multiple dense, multiple sparse x single dense)
• Support cuSPARSELt v0.4 backend
• Integreate with tensilelite kernel generator
• Add Gtest: hipsparselt-test
• Add benchmarking tool: hipsparselt-bench
• Add sample app: example_spmm_strided_batched, example_prune, example_compress

hipSPARSELt 0.1.0 for ROCm 6.0.0

Added

• Enable hipSPARSELt APIs
• Support platform: gfx940, gfx941, gfx942
• Support problem type: fp16, bf16, int8
• Support activation: relu, gelu, abs, sigmod, tanh
• Support gelu scaling
• Support bias vector
• Support batched computation (single sparse x multiple dense, multiple sparse x single dense)
• Support cuSPARSELt v0.4 backend
• Integreate with tensilelite kernel generator
• Add Gtest: hipsparselt-test
• Add benchmarking tool: hipsparselt-bench
• Add sample app: example_spmm_strided_batched, example_prune, example_compress