ASPLOS'23 - Session 5C - FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
ASPLOS
ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers
ASPLOS
ASPLOS'23 - Session 5C - Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacente
ASPLOS
ASPLOS'23 - Session 5C - TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
ASPLOS
ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization
ASPLOS
ASPLOS'23 - Session 5B - Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices
ASPLOS
ASPLOS'23 - Session 5C - Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitionin
ASPLOS
ASPLOS'23 - Session 1A - Heron: Automatically Constrained High-performance Library Generation for De
ASPLOS
ASPLOS'23 - Session 5A - VClinic: A Portable and Efficient Framework for Fine-grained Value Profiler
ASPLOS
ASPLOS'23 - Session 1C - LEGO: Empowering Chip-level functionality plug-and-play for next-generation
ASPLOS
ASPLOS'23 - Session 1C - Transparent Runtime Change Handling for Android Apps
ASPLOS
ASPLOS'23 - Session 4C - Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling
ASPLOS
ASPLOS'23 - Session 5A - Compilation Consistency Modulo Debug Information
ASPLOS