high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

A balanced programming model for emerging heterogeneous multicore systems

Wei Liu, Brian Lewis, Xiaocheng Zhou, Hu Chen, Ying Gao, Shoumeng Yan, Sai Luo, Bratin Saha

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Larrabee, OpenCL, Performance

August 19, 2011 by hgpu

Extending abstract GPU APIs to shared memory

Ferosh Jacob

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, OpenMP, Presentation, Programming Languages, Programming techniques

August 19, 2011 by hgpu

A framework for lab-based real-time video analysis on distributed camera networks

Farhad Dadgostar, Abbas Bigdeli, Sandra Mau, Terence Smith, Brian Lovell

Tags: Computer science, Computer vision, Image recognition, OpenCL

August 19, 2011 by hgpu

A cluster for CS education in the manycore era

Joel C. Adams, Kathy Hoobeboom, Jonathan Walz

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, nVidia, OpenCL, OpenMP, OpenMPI, Performance

August 19, 2011 by hgpu

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

J. A. Herdman, W. P. Gaudin, D. Turland, S. D. Hammond

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Tesla C1060

August 19, 2011 by hgpu

Real-time rendering and dynamic updating of 3-d volumetric data

Andrew Miller, Vishal Jain, Joseph L. Mundy

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Rendering

August 19, 2011 by hgpu

Caracal: dynamic translation of runtime environments for GPUs

Rodrigo Dominguez, Dana Schaa, David Kaeli

View

Download (PDF)

Source codes

Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Performance, Programming Languages, PTX

August 19, 2011 by hgpu

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

Energy-aware metrics for benchmarking heterogeneous systems

Simon McIntosh-Smith, Terry Wilson, Jon Crisp, Amaurys Avila Ibarra, Richard B. Sessions

View

Download (PDF)

Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050

August 18, 2011 by hgpu

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs

Budirijanto Purnomo, Norman Rubin, Michael Houston

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, OpenCL, Performance, Programming techniques

August 18, 2011 by hgpu

Physical and graphical effects in OpenCL by example

Justin Hensley, Derek Gerstmann, Jason Yang

Tags: 3D Graphics and Realism, Computer science, OpenCL, Programming techniques

August 18, 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

A balanced programming model for emerging heterogeneous multicore systems

Extending abstract GPU APIs to shared memory

A framework for lab-based real-time video analysis on distributed camera networks

A cluster for CS education in the manycore era

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

Real-time rendering and dynamic updating of 3-d volumetric data

Caracal: dynamic translation of runtime environments for GPUs

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Energy-aware metrics for benchmarking heterogeneous systems

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs

Physical and graphical effects in OpenCL by example

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)