high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

GPGPU-based Latency Insertion Method: Application to PDN simulations

Y. Inoue, T. Sekine, H. Asai

Tags: Computational Engineering, Computer science

April 4, 2011 by hgpu

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

S. Rogmans, M. Dumont, G. Lafruit, P. Bekaert

Tags: Computer science, Rendering

April 4, 2011 by hgpu

Parallel connected-component labeling algorithm for GPGPU applications

In-Yong Jung, Chang-Sung Jeong

Tags: Algorithms, Computer science, CUDA, nVidia

April 4, 2011 by hgpu

Exploring GPGPU workloads: Characterization methodology, analysis and microarchitecture evaluation implications

Nilanjan Goswami, Ramkumar Shankar, Madhura Joshi, Tao Li

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, PTX

April 4, 2011 by hgpu

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

April 4, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU

Lu Jun, Zhang Baoming

Tags: Computer science, Rendering

April 3, 2011 by hgpu

Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU

Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Wei-Kuan Shih

Tags: Computer science, Data mining, KD-tree, Nearest neighbour

April 3, 2011 by hgpu

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Mobile visual computing

K. Pulli

View

Download (PDF)

Tags: Computer science, Image recognition, OpenCL, OpenGL, Video tracking

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

View

Download (PDF)

Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

Throughput-Effective On-Chip Networks for Manycore Accelerators

Ali Bakhoda, John Kim, Tor M. Aamodt

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

April 2, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

GPGPU-based Latency Insertion Method: Application to PDN simulations

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

Parallel connected-component labeling algorithm for GPGPU applications

Exploring GPGPU workloads: Characterization methodology, analysis and microarchitecture evaluation implications

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU

Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU

A Light-weight API for Portable Multicore Programming

Mobile visual computing

Energy consumption of Graphic Processing Units with respect to automotive use-cases

Throughput-Effective On-Chip Networks for Manycore Accelerators

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)