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

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

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

ASPLOS'22 - Session 2A - GPM: Leveraging Persistent Memory from a GPUПодробнее

ASPLOS'22 - Session 2A - GPM: Leveraging Persistent Memory from a GPU

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 3B - Eavesdropping User Credentials via GPU Side Channels on SmartphonesПодробнее

ASPLOS'22 - Session 3B - Eavesdropping User Credentials via GPU Side Channels on Smartphones

ASPLOS'22 - Session 8B - Vector Instruction Selection for Digital Signal Processors Using ProgramПодробнее

ASPLOS'22 - Session 8B - Vector Instruction Selection for Digital Signal Processors Using Program

ASPLOS'20 - Session 10A - FlexTensor: An Automatic Schedule Exploration and Optimization FrameworkПодробнее

ASPLOS'20 - Session 10A - FlexTensor: An Automatic Schedule Exploration and Optimization Framework

ASPLOS'22 - Session 2A - JSONSki: Streaming Semi-Structured Data with Bit-Parallel Fast-ForwardingПодробнее

ASPLOS'22 - Session 2A - JSONSki: Streaming Semi-Structured Data with Bit-Parallel Fast-Forwarding

ASPLOS'23 - Session 2B - NUBA: Non-Uniform Bandwidth GPUsПодробнее

ASPLOS'23 - Session 2B - NUBA: Non-Uniform Bandwidth GPUs