ASPLOS'23 - Session 4C - SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
ASPLOS
ASPLOS'23 - Session 4C - The Sparse Abstract Machine
ASPLOS
ASPLOS'23 - Session 4C - SPADA: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow
ASPLOS
ASPLOS'23 - Session 4C - Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling
ASPLOS
ASPLOS'23 - Session 4C - Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs
ASPLOS
ASPLOS'23 - Session 2A - Graphene: An IR for Optimized Tensor Computations on GPUs
ASPLOS
ASPLOS'23 - Session 1A - WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of
ASPLOS
ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization
ASPLOS
ASPLOS'23 - Session 2C - BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution
ASPLOS
ASPLOS'23 - Session 8B - Sigma: Compiling Einstein Summations to Locality-Aware Dataflow
ASPLOS
ASPLOS'23 - Session 5C - FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
ASPLOS
ASPLOS'22 - Session 2A - SparseCore: Stream ISA and Processor Specialization for Sparse Computation
ASPLOS
ASPLOS'24 - Lightning Talks - Session 4A - ACES: Accelerating Sparse Matrix Multiplication with Adap
ASPLOS