HiPDAC Lab
HiPDAC Lab led by Dr. Tao conducts research and development in the broad area of high-performance computing and big data analytics.
United States of America
Pinned Repositories
cuSZ
A GPU accelerated error-bounded lossy compression for scientific data.
FCBench
FCBench: Benchmarking of Lossless Compression for Floating-Point Data
HPDC22-TAC
Artifacts of HPDC'22 paper "TAC: An error-bounded lossy compressor for high-dimensional adaptive mesh refinement (AMR) data"
ICS23-GPULZ
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
ICS23-HEAT
HEAT: A High-Performance Training System for Collaborative Filtering Based Recommendation on CPUs
JPDC-TSM2X
Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
PPOPP23-TDC
SC23-AMRIC
Artifacts of SC'23 paper "AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications"
SC24-SOLAR
Artifacts of SC'24 paper "A High-Performance Data Loading Framework for Distributed DNN Training with Remote Storage".
VLDB22-COMET
Artifacts of VLDB'22 paper "COMET: A Novel Memory-Efficient Deep Learning TrainingFramework by Using Error-Bounded Lossy Compression"
HiPDAC Lab's Repositories
hipdac-lab/ICS23-GPULZ
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
hipdac-lab/VLDB22-COMET
Artifacts of VLDB'22 paper "COMET: A Novel Memory-Efficient Deep Learning TrainingFramework by Using Error-Bounded Lossy Compression"
hipdac-lab/PPOPP23-TDC
hipdac-lab/SC23-AMRIC
Artifacts of SC'23 paper "AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications"
hipdac-lab/cuSZ
A GPU accelerated error-bounded lossy compression for scientific data.
hipdac-lab/FCBench
FCBench: Benchmarking of Lossless Compression for Floating-Point Data
hipdac-lab/ICS21-ClickTrain
PatternTrain: A Fast and Accurate Deep CNN Training Framework via Dynamic Fine-Grained Pattern-Based Pruning
hipdac-lab/SC24-SOLAR
Artifacts of SC'24 paper "A High-Performance Data Loading Framework for Distributed DNN Training with Remote Storage".
hipdac-lab/hbmax-pact
Artifacts of PACT’22 paper “HBMAX: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures”
hipdac-lab/HPDC22-TAC
Artifacts of HPDC'22 paper "TAC: An error-bounded lossy compressor for high-dimensional adaptive mesh refinement (AMR) data"
hipdac-lab/IA-SpGEMM
An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication
hipdac-lab/ICS23-HEAT
HEAT: A High-Performance Training System for Collaborative Filtering Based Recommendation on CPUs
hipdac-lab/ipdps22-opthuffdec
Artifacts of IPDPS '22 paper "Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs"
hipdac-lab/SC22-HDF5-SZ
HDF5 with SZ lossy compression
hipdac-lab/JPDC-TSM2X
Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
hipdac-lab/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
hipdac-lab/EuroSys24-AsyncSchedule4IO
Artifact of EuroSys'24 paper "Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling"
hipdac-lab/flower
Flower - A Friendly Federated Learning Framework
hipdac-lab/HPDC19-DeepSZ
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
hipdac-lab/kronmult
hipdac-lab/LCFI
LCFI is an LLVM based lossy compression fault injection tool modified from LLFI.
hipdac-lab/matGadgets
Some gadgets implemented by Matlab.
hipdac-lab/opthuffmancodec
Highly optimized Huffman encoder and decoder
hipdac-lab/PACT22-HBMax
A C++ Library for Influence Maximization
hipdac-lab/precompiled-exolibs
Precompiled nvcomp libraries wth different CUDA versions.
hipdac-lab/SC23-AMRIC-Image
hipdac-lab/SZ_HLS
An implementation of SZ lossy compression in Vivado HLS for Xilinx FPGAs.