high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

An events based algorithm for distributing concurrent tasks on multi-core architectures

David W. Holmes, John R. Williams, Peter Tilke

View

Download (PDF)

Tags: Algorithms, Computer science, Performance, Task scheduling

January 11, 2011 by hgpu

Efficient gradient-domain compositing using quadtrees

Aseem Agarwala

View

Download (PDF)

Tags: Algorithms, Filtering, Image processing

January 11, 2011 by hgpu

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

N. Sanna, I. Baccarelli, G. Morelli

Tags: Biology, Chemistry, CUDA, Molecular modeling, nVidia

January 11, 2011 by hgpu

iNFAnt: NFA pattern matching on GPGPU devices

Niccolo' Cascarano, Pierluigi Rolando, Fulvio Risso, Riccardo Sisto

View

Download (PDF)

Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260, String matching

January 11, 2011 by hgpu

Accelerating linpack with CUDA on heterogenous clusters

Massimiliano Fatica

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia

January 11, 2011 by hgpu

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Ros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen-mei W. Hwu

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, FPGA, High-level Languages

January 11, 2011 by hgpu

CUDA-based real time surgery simulation

Youquan Liu, Suvranu De

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Surgical simulation

January 11, 2011 by hgpu

Fast binding site mapping using GPUs and CUDA

Bharat Sukhwani, Martin C. Herbordt

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060

January 11, 2011 by hgpu

High-performance CUDA kernel execution on FPGAs

Alexandros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen Mei

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, Performance, Programming techniques

January 11, 2011 by hgpu

Quality-score guided error correction for short-read sequencing data using CUDA

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

Tags: Bioinformatics, Biology, CUDA, Error recovery, Genetics, nVidia

January 11, 2011 by hgpu

High-speed volume ray casting with CUDA

L. Marsalek, A. Hauber, P. Slusallek

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Poster, Real-time graphics

January 10, 2011 by hgpu

Parallel drainage network computation on CUDA

L. Ortega, A. Rueda

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia

January 10, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

An events based algorithm for distributing concurrent tasks on multi-core architectures

Efficient gradient-domain compositing using quadtrees

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

iNFAnt: NFA pattern matching on GPGPU devices

Accelerating linpack with CUDA on heterogenous clusters

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

CUDA-based real time surgery simulation

Fast binding site mapping using GPUs and CUDA

High-performance CUDA kernel execution on FPGAs

Quality-score guided error correction for short-read sequencing data using CUDA

High-speed volume ray casting with CUDA

Parallel drainage network computation on CUDA

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Most viewed papers (last 30 days)