ASPLOS'22 - Keynote by Michael Franz, University of California, Irvine
ASPLOS'22 - Session 8B - Understanding and Exploiting Optimal Function Inlining
ASPLOS'22 - Session 1A - A Full-stack Search Technique for Domain Optimized Deep Learning Accelerato
ASPLOS'22 - Session WACI
[ASPLOS' 22 Full] TaskStream: Accelerate Task-Parallel Workload by Recovering Program Structure
ASPLOS'22 - Session 2B - ViK: Practical Mitigation of Temporal Memory Safety Violations
ASPLOS'22 - Session 4A - RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale
ASPLOS`22 - The Benefits of General-Purpose On-NIC Memory - Full talk
ASPLOS'22 - Session 8B - Vector Instruction Selection for Digital Signal Processors Using Program
ASPLOS'22 - Session 2B - MineSweeper: A “Clean Sweep” for Drop-In Use-After-Free Prevention
ASPLOS'22 - Session 4B - Efficient and Scalable Core Multiplexing with M³v
ASPLOS'22 - Session 4A - Breaking the Computation and Communication Abstraction Barrier
ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible
ASPLOS'22 - Session 7B - Who Goes First? Detecting Go Concurrency Bugs via Message Reordering
ASPLOS'22 - Session 1A - BiSon-e: A Lightweight and High-Performance Accelerator for Narrow Integer
[ASPLOS' 22 Lightning] TaskStream: Accelerate Task-Parallel Workload by Recovering Program Structure
ASPLOS'22 - Session 1B- Every Walk’s a Hit: Making Page Walks Single-Access Cache Hits
ASPLOS'22 - Session 1A - FINGERS: Exploiting Fine-Grained Parallelism in Graph Mining Accelerators
ASPLOS'22 - Session 4B - FlexOS: Towards Flexible OS Isolation
ASPLOS'22 - Session 7A - IceBreaker: Warming Serverless Functions Better with Heterogeneity