high performance computing on graphics processing units: hgpu.org

A. P. V. Siemion, J. Cobb, T. Filiba, A. Fries, A. Howard, J. von Korff, E. Korpela, M. Lebofsky, W. Mallard, A. Parsons, M. Wagner, D. Werthimer, H. Chen, P. L. McMahon, J. Cordes, L. Spitler

View

Download (PDF)

Tags: Astrophysics, Heterogeneous systems, Review

October 25, 2011 by hgpu

Design and Implementation of GPU-Based Prim’s Algorithm

Wei Wang, Yongzhong Huang, Shaozhong Guo

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

October 25, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs

A case study on porting scientific applications to GPU/CUDA

Quasars spectra classification with the help of GPU computing

Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit

A Memory Efficient and Fast Sparse Matrix Vector Product on a GPU

Accelerated MD Program Using CUDA Technology

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

Flexible neuronal network simulation framework using code generation for NVidia CUDA

Hand Tracking based on Hierarchical Clustering of Range Data

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Current and Nascent SETI Instruments in the Radio and Optical

Design and Implementation of GPU-Based Prim’s Algorithm

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)