high performance computing on graphics processing units: hgpu.org

S. Van Gorp, M. Beck, M. Breitenfeldt, V. De Leebeeck, P. Friedag, A. Herlert, T. Iitaka, J. Mader, V. Kozlov, S. Roccia, G. Soti, M. Tandecki, E. Traykov, F. Wauters, Ch. Weinheimer, D. Zakoucky, N. Severijns

View

Download (PDF)

Source codes

Tags: CUDA, N-body simulation, Nuclear Experiment, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics

December 24, 2011 by hgpu

GPU-based parallel collision detection for real-time motion planning

Jia Pan, Dinesh Manocha

View

Download (PDF)

Tags: Algorithms, Benchmarking, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

December 22, 2011 by hgpu

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Andre R. Brodtkorb, Martin L. Saetra, Mustafa Altinakar

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Visualization

December 22, 2011 by hgpu

Generative programming methods for parallel partial differential field equation solvers

Daniel Peter Playne

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, Field equations, MPI, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2050, Thesis

December 22, 2011 by hgpu

Porting and optimizing MAGFLOW on CUDA

Giuseppe Bilotta, Eugenio Rustico, Alexis Herault, Annamaria Vicari, Giovanni Russo, Ciro Del Negro, Giovanni Gallo

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization

December 21, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Efficient parallel lists intersection and index compression algorithms using graphics processing units

PFAC Library: GPU-based string matching algorithm

MIDeA: a multi-parallel intrusion detection architecture

Simple Geometry Compression for Ray Tracing on GPU

Turbo Bayesian Compressed Sensing

Scalable multi-GPU implementation of the MAGFLOW simulator

Simbuca, using a graphics card to simulate Coulomb interactions in a penning trap

GPU-based parallel collision detection for real-time motion planning

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Generative programming methods for parallel partial differential field equation solvers

Porting and optimizing MAGFLOW on CUDA

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)