ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications

ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated ApplicationsПодробнее

ASPLOS'22 - Session 2A - ValueExpert: Exploring Value Patterns in GPU-accelerated Applications

ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client MLПодробнее

ASPLOS'22 - Session 2A - GPUReplay: A 50-KB GPU Stack for Client ML

Nvidia's AI is About to Change Everything AgainПодробнее

Nvidia's AI is About to Change Everything Again

ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated ApplicationsПодробнее

ASPLOS'23 - Session 5A - DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications

ASPLOS'22 - Session 2A - SparseCore: Stream ISA and Processor Specialization for Sparse ComputationПодробнее

ASPLOS'22 - Session 2A - SparseCore: Stream ISA and Processor Specialization for Sparse Computation

DAGguise (ASPLOS 2022)Подробнее

DAGguise (ASPLOS 2022)

ASPLOS'23 - Session 2A - Graphene: An IR for Optimized Tensor Computations on GPUsПодробнее

ASPLOS'23 - Session 2A - Graphene: An IR for Optimized Tensor Computations on GPUs

ASPLOS'23 - Session 7B - GZKP: A GPU Accelerated Zero-Knowledge Proof SystemПодробнее

ASPLOS'23 - Session 7B - GZKP: A GPU Accelerated Zero-Knowledge Proof System

Low Overhead and Context Sensitive Profiling of GPU-accelerated ApplicationsПодробнее

Low Overhead and Context Sensitive Profiling of GPU-accelerated Applications

[ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPUПодробнее

[ASPLOS 2022] GPM: Leveraging Persistent Memory from a GPU

ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration CompatibleПодробнее

ASPLOS'22 - Session 8A - PLD: Fast FPGA Compilation to Make Reconfigurable Acceleration Compatible