high performance computing on graphics processing units: hgpu.org

hgpu.org » High-level Languages

BSGP: bulk-synchronous GPU programming

Qiming Hou, Kun Zhou, Baining Guo

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX

December 7, 2010 by hgpu

Scout: a data-parallel programming language for graphics processors

Patrick McCormick, Jeff Inman, James Ahrens, Jamaludin M. Yusof, Greg Roth, Sharen Cummins

Tags: Computer science, High-level Languages, Visualization

December 5, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

Implementing an embedded GPU language by combining translation and generation

Calle Lejdfors, Lennart Ohlsson

View

Download (PDF)

Source codes

Tags: ATI, High-level Languages, Image processing, nVidia, OpenGL

December 3, 2010 by hgpu

Glift: Generic, efficient, random-access GPU data structures

Aaron E. Lefohn, Joe Kniss, Robert Strzodka, Shubhabrata Sengupta, John D. Owens

View

Download (PDF)

Tags: Cg, Computer science, Data Structures and Algorithms, High-level Languages, nVidia, nVidia GeForce 6800 GT

December 2, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

hiCUDA: a high-level directive-based language for GPU programming

Tianyi D. Han, Tarek S. Abdelrahman

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

November 23, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

View

Download (PDF)

Source codes

Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Cg in Two Pages

Mark J. Kilgard

View

Download (PDF)

Tags: Cg, Computer science, High-level Languages, HLSL, nVidia, Review

November 13, 2010 by hgpu

Accelerator: using data parallelism to program GPUs for general-purpose uses

David Tarditi, Sidd Puri, Jose Oglesby

View

Download (PDF)

Tags: ATI, ATI Radeon X1800, ATI Radeon X850 XT, Computer science, High-level Languages, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX

November 5, 2010 by hgpu

Parallel Computing Experiences with CUDA

M. Garland, S. Le Grand, J. Nickolls, J. Anderson, J. Hardwick, S. Morton, E. Phillips, Yao Zhang, V. Volkov

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia

November 4, 2010 by hgpu

Issues and challenges in compiling for graphics processors

Norm Rubin

View

Download (PDF)

Tags: Computer science, High-level Languages, Presentation, Review

November 4, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

BSGP: bulk-synchronous GPU programming

Scout: a data-parallel programming language for graphics processors

GPU Computing: Programming a Massively Parallel Processor

Implementing an embedded GPU language by combining translation and generation

Glift: Generic, efficient, random-access GPU data structures

Synergistic execution of stream programs on multicores with accelerators

hiCUDA: a high-level directive-based language for GPU programming

A GPGPU compiler for memory optimization and parallelism management

Cg in Two Pages

Accelerator: using data parallelism to program GPUs for general-purpose uses

Parallel Computing Experiences with CUDA

Issues and challenges in compiling for graphics processors

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)