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ASPLOS'23 - Session 4C - Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs
ASPLOS'23 - Session 4C - SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
ASPLOS'23 - Session 4C - Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator
ASPLOS'23 - Session 1A - Heron: Automatically Constrained High-performance Library Generation for De
ASPLOS'23 - Session 1C - Space-Efficient TREC for Enabling Deep Learning on Microcontrollers
ASPLOS'23 - Session 4A - ShakeFlow: Functional Hardware Description with Latency-Insensitive Interfa
ASPLOS'23 - Session 2C - BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution
ASPLOS'23 - Session 4A - SMAPPIC: Scalable Multi-FPGA Architecture Prototype Platform in the Cloud
ASPLOS'23 - Session 1A - WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of
ASPLOS'20 - Session 8B - FirePerf: FPGA-Accelerated Full-System Hardware/Software Performance Profil
ASPLOS'23 - Session 9A - Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers