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ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications
ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML
ASPLOS'22 - Session 2B - MineSweeper: A “Clean Sweep” for Drop-In Use-After-Free Prevention
ASPLOS'22 - Session 8A - Debugging in the Brave New World of Reconfigurable Hardware
ASPLOS'22 - Session 5A - HAMMER: Boosting Fidelity of Noisy Quantum Circuits by Exploiting Hamming
ASPLOS'22 - Session 1A - BiSon-e: A Lightweight and High-Performance Accelerator for Narrow Integer
ASPLOS'22 - Session 1A - DOTA: Detect and Omit Weak Attentions for Scalable Transformer Acceleration
ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible
ASPLOS'22 - Session 9B - FlexDriver: A Network Driver for Your Accelerator
ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale
ASPLOS'23 - Session 2A - Coyote: A Compiler for Vectorizing Encrypted Arithmetic Circuits
ASPLOS'22 - Session 4A - NASPipe: High Performance and Reproducible Pipeline Parallel Supernet