Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs

Pipe-BD: Pipelined Parallel Blockwise Distillation

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Improving Gradient Paths for Binary Convolutional Neural Networks

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators

Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing

the Tuning Space of GPU Graph Processing

GCoM: A Detailed GPU Core Model for Accurate Analytical Modeling of Modern GPUs

It’s All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher