high performance computing on graphics processing units: hgpu.org

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Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

M. Heimel, F. Haase, M. Meinke, S. Breß, M. Saecker, V. Markl

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Tags: Databases, Heterogeneous systems, OpenCL, Performance

March 24, 2014 by hgpu

High-Performance Image Synthesis for Radio Interferometry

D. Muscat

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 680, Signal processing, Thesis

March 24, 2014 by hgpu

An unsupervised parallel genetic cluster algorithm for graphics processing units

D. Hendricks, D. Cieslakiewicz, D. Wilcox, T. Gebbie

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Tags: Clustering, Computational finance, CUDA, Genetic programming, nVidia, nVidia GeForce 560 Ti, nVidia GeForce 660 Ti, nVidia GeForce GTX 660 M

March 23, 2014 by hgpu

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

G. Wang, Y. Xiong, J. Yun, J.R. Cavallar

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Tags: Computer vision, Image processing, OpenCL

March 23, 2014 by hgpu

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

E.M. Mahé, J.-M. Chauvet

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Tags: AMD Radeon R9 290, ATI, ATI Radeon HD 6870, nVidia, nVidia GeForce GTX Titan, OpenCL, Security

March 23, 2014 by hgpu

Accelerating Low-Fidelity Aerodynamic Codes

M. Chrust, É. Laurendeau

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Tags: CUDA, Fluid dynamics, nVidia, Tesla K20

March 22, 2014 by hgpu

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

A. Jain

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2075

March 22, 2014 by hgpu

Applying GPU Dynamic Parallelism to High-Performance Normalization of Gene Expressions

R.P. Souto, C. Osthoff, A.T.R. de Vasconcelos, D.A. Augusto, P.L. da Silva Dias, A. Rodriguez, O. Trelles, M. Ujaldon

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Tags: CUDA, Genetics, nVidia, Sorting, Tesla K20c

March 22, 2014 by hgpu

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

A. Joshi, M. Frank

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Tags: CAD, CUDA, nVidia, Tesla C2075

March 21, 2014 by hgpu

Concurrent learning of a Probabilistic Graphical Model on the GPU

M. Matuszak

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Tags: Bayesian, CUDA, nVidia, nVidia GeForce GTX 480, Path problems

March 21, 2014 by hgpu

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

H. Bantikyan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 630, Signal processing

March 21, 2014 by hgpu

An Efficient Parallel ISODATA Algorithm Based on Kepler GPUs

S. Yang, J. Dong, B. Yuan

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Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce GT 640, Tesla K20

March 20, 2014 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

High-Performance Image Synthesis for Radio Interferometry

An unsupervised parallel genetic cluster algorithm for graphics processing units

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

Accelerating Low-Fidelity Aerodynamic Codes

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

Applying GPU Dynamic Parallelism to High-Performance Normalization of Gene Expressions

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

Concurrent learning of a Probabilistic Graphical Model on the GPU

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

An Efficient Parallel ISODATA Algorithm Based on Kepler GPUs

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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