high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenCL

A Survey On Parallelization Of Data Mining Techniques

Shrikant Gond, Akshay Patil, V. B. Nikam

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, OpenCL, Overview

July 1, 2013 by hgpu

Towards Performance-Portable, Scalable, and Convenient Linear Algebra

Philippe Tillet, Karl Rupp, Siegfried Selberherr, Chin-Teng Lin

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Task scheduling

July 1, 2013 by hgpu

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

Max Grossman, Mauricio Breternitz, Vivek Sarkar

View

Download (PDF)

Tags: APU, ATI, Computer science, Heterogeneous systems, Java, MapReduce, nVidia, OpenCL, Tesla M2050

June 30, 2013 by hgpu

A model of dynamic compilation for heterogeneous compute platforms

Andrew Kerr

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenCL, PTX, Thesis

June 29, 2013 by hgpu

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Patricia Sundin

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro K5000, OpenCL, Tesla K20, Thesis

June 29, 2013 by hgpu

Hinomiyagura Infrastructure Competiton TDP: Platform of rescue simulation using GPGPU

Toshinori Niwa, Masaru Okaya, Tomoichi Takahashi

View

Download (PDF)

Tags: Computer science, nVidia, OpenCL, Security, Tesla C2075

June 29, 2013 by hgpu

Efficient computation of constrained parameterizations on parallel platforms

Theodoros Athanasiadis, Georgios Zioupos, Ioannis Fudos

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Computer science, nVidia, OpenCL, Package, Tesla C2070

June 29, 2013 by hgpu

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Alamelu Sankaranarayanan, Ehsan K. Ardestani, Jose Luis Briz, Jose Renau

View

Download (PDF)

Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, Memory, nVidia, OpenCL

June 24, 2013 by hgpu

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

Maryam Sadreddini

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

June 23, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

View

Download (PDF)

Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Eric Holk, Milinda Pathirage, Arun Chauhan, Andrew Lumsdaine, Nicholas D. Matsakis

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 460, OpenCL, Package, PTX

June 17, 2013 by hgpu

Real-space density functional theory on graphical processing units: computational approach and comparison to Gaussian basis set methods

Xavier Andrade, Alan Aspuru-Guzik

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 7970, Computational Physics, Condensed matter, Data parallelism, nVidia, OpenCL, Package, Physics, Tesla K20

June 14, 2013 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

A Survey On Parallelization Of Data Mining Techniques

Towards Performance-Portable, Scalable, and Convenient Linear Algebra

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

A model of dynamic compilation for heterogeneous compute platforms

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Hinomiyagura Infrastructure Competiton TDP: Platform of rescue simulation using GPGPU

Efficient computation of constrained parameterizations on parallel platforms

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

Parallel Language Programming In Different Platforms

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Real-space density functional theory on graphical processing units: computational approach and comparison to Gaussian basis set methods

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)