high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform

Biao Hu, Uzair Sharif, Rajat Koner, Guang Chen, Kai Huang, Feihu Zhang, Walter Stechele, Alois Knoll

View

Download (PDF)

Source codes

Tags: AMD FirePro W9100, ATI, Bayesian, Benchmarking, Computer science, Filtering, Heterogeneous systems, OpenCL, Package

April 17, 2017 by hgpu

Faster across the PCIe bus: A GPU library for lightweight decompression

Eyal Rozenberg, Peter Boncz

View

Download (PDF)

Source codes

Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan X, Package

April 15, 2017 by hgpu

Unfolding and Shrinking Neural Machine Translation Ensembles

Felix Stahlberg, Bill Byrne

View

Download (PDF)

Source codes

Tags: Computer science, Deep learning, Neural networks, NLP, nVidia, nVidia GeForce GTX Titan X, Package

April 15, 2017 by hgpu

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

William R. Saunders, James Grant, Eike H. Muller

View

Download (PDF)

Source codes

Tags: Algorithms, Biology, Chemistry, Code generation, Computer science, CUDA, Differential equations, DSL, Molecular dynamics, nVidia, Package, Partial differential equations, PDEs, Physics, Python, Tesla K20

April 15, 2017 by hgpu

Parallelized Kendall’s Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors

Yongchao Liu, Tony Pan, Oded Green, Srinivas Aluru

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Distributed computing, Intel Xeon Phi, MPI, Package, Sorting

April 15, 2017 by hgpu

A modular GPU raytracer using OpenCL for non-interactive graphics

Henrique Nunes Jung, Vinicius Jurinic Cassol

View

Download (PDF)

Source codes

Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 970, OpenCL, Package, Raytracing, Rendering

April 11, 2017 by hgpu

Sparse Matrix-Vector Multiplication on GPGPUs

Salvatore Filippone, Valeria Cardellini, Davide Barbieri, Alessandro Fanfarillo

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Fortran, nVidia, nVidia GeForce GTX 660, Package, Review, Sparse matrix, Tesla K20, Tesla K40, Tesla M2070

April 3, 2017 by hgpu

Comparing Programmer Productivity in OpenACC and CUDA: an Empirical Investigation

Xuechao Li, Po-Chou Shih, Jeffrey Overbey, Cheryl Seals, Alvin Lim

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, OpenACC, Package

March 20, 2017 by hgpu

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, Machine learning, Matlab, Neural networks, nVidia, nVidia GeForce GTX 960, Package, TensorFlow, Torch

March 20, 2017 by hgpu

Massive Exploration of Neural Machine Translation Architectures

Denny Britz, Anna Goldie, Thang Luong, Quoc Le

View

Download (PDF)

Source codes

Tags: Computer science, Deep learning, Neural networks, NLP, nVidia, Package, Python, TensorFlow, Tesla K40

March 14, 2017 by hgpu

Optimizing Deep CNN-Based Queries over Video Streams at Scale

Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, Databases, Deep learning, Machine learning, Neural networks, nVidia, nVidia DGX-1, Package, TensorFlow, Tesla P100

March 9, 2017 by hgpu

Improving the Neural GPU Architecture for Algorithm Learning

Karlis Freivalds, Renars Liepins

View

Download (PDF)

Source codes

Tags: Algorithms, Artificial intelligence, Computer science, Deep learning, Memory model, nVidia, Package, Python, TensorFlow, Tesla K40

March 5, 2017 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform

Faster across the PCIe bus: A GPU library for lightweight decompression

Unfolding and Shrinking Neural Machine Translation Ensembles

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

Parallelized Kendall’s Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors

A modular GPU raytracer using OpenCL for non-interactive graphics

Sparse Matrix-Vector Multiplication on GPGPUs

Comparing Programmer Productivity in OpenACC and CUDA: an Empirical Investigation

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

Massive Exploration of Neural Machine Translation Architectures

Optimizing Deep CNN-Based Queries over Video Streams at Scale

Improving the Neural GPU Architecture for Algorithm Learning

Recent source codes

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Most viewed papers (last 30 days)