high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Using CUDA architecture for computer simulations of thermomechanical phenomena

Grzegorz Michalski, Norbert Sczygiol, Siergiei Leonov

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 200, Solidification

November 20, 2014 by hgpu

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

E. Bajrovic, S. Benkner

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, OpenCV, Performance, Tesla C2050, Tesla K20

November 20, 2014 by hgpu

CL2QCD – Lattice QCD based on OpenCL

Owe Philipsen, Christopher Pinke, Alessandro Sciarra, Matthias Bach

View

Download (PDF)

Source codes

Tags: AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Physics, QCD, Tesla K40

November 20, 2014 by hgpu

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Mario Spera

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, QCD

November 20, 2014 by hgpu

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Sparsh Mittal, Saket Gupta, Sudeb Dasgupta

View

Download (PDF)

Tags: DSP, FPGA, Image processing, survey

November 19, 2014 by sparsh0mittal

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, M. Wagner

View

Download (PDF)

Tags: Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Intel Xeon Phi, Mathematical Software, nVidia, Physics, Tesla K20, Tesla K40

November 18, 2014 by hgpu

Hybrid CPU-GPU Pipeline Framework

Fahad Khalid, Frank Feinbube, Andreas Polze

View

Download (PDF)

Tags: Biology, Computational biology, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680

November 18, 2014 by hgpu

Processing Hard Sphere Collisions on a GPU Using OpenCL

Zachary Langbert, Mark C. Lewis

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, nVidia, nVidia GeForce GTX 670, OpenCL

November 18, 2014 by hgpu

Parallel Neutrino Triggers using GPUs for an underwater telescope

Bachir Bouhadef, Mauro Morganti, Giuseppe Terreni

View

Download (PDF)

Tags: CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX Titan, Physics, Tesla C2050

November 18, 2014 by hgpu

Glider: A GPU Library Driver for Improved System Security

Ardalan Amiri Sani, Lin Zhong, Dan S. Wallach

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6450, Computer science, OpenCL, OpenGL, Operating systems, Security

November 18, 2014 by hgpu

Mobile GPGPU Acceleration of Embodied Robot Simulation

Simon Jones, Matthew Studley, Alan Winfield

View

Download (PDF)

Source codes

Tags: Computer science, OpenCL, Package, Robotics

November 16, 2014 by hgpu

Ray Reordering Techniques for GPU Ray-Cast Ambient Occlusion

Vasco Costa, Joao M. Pereira, Joaquim A. Jorge

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Rendering

November 16, 2014 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Using CUDA architecture for computer simulations of thermomechanical phenomena

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

CL2QCD – Lattice QCD based on OpenCL

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

Hybrid CPU-GPU Pipeline Framework

Processing Hard Sphere Collisions on a GPU Using OpenCL

Parallel Neutrino Triggers using GPUs for an underwater telescope

Glider: A GPU Library Driver for Improved System Security

Mobile GPGPU Acceleration of Embodied Robot Simulation

Ray Reordering Techniques for GPU Ray-Cast Ambient Occlusion

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Most viewed papers (last 30 days)