Optimization | Page 27

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GPU-Based Parallel Multi-objective Particle Swarm Optimization

You Zhou, Ying Tan

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, Optimization

December 4, 2011 by hgpu

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

Zhu Wang, Josh Graham, Noura Ajam, Hai Jiang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Optimization, Security, Tesla C2070

December 3, 2011 by hgpu

Parallel-META: A high-performance computational pipeline for metagenomic data analysis

Xiaoquan Su, Jian Xu, Kang Ning

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Tags: Biology, Databases, Genetics, nVidia, Optimization, Tesla C2070

December 2, 2011 by hgpu

Auto-optimization of a Feature Selection Algorithm

Didem Unat, Han Suk Kim, Jurgen P. Schulze, Scott B. Baden

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optimization, Rendering, Tesla C1060, Visualization

December 2, 2011 by hgpu

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

David L. Foster

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Tesla C1060

December 1, 2011 by hgpu

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Hao Wu, Junbo Xu, Shengfei Zhang, Hao Wen

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Tags: Algorithms, Benchmarking, Chemistry, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Optimization

November 30, 2011 by hgpu

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Kyoko Nakao, Erika Matsui, Naoko Yoshii, Masami Takata, Kazuki Joe

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Optimization, Rendering, Tesla C1060

November 30, 2011 by hgpu

Domain-Specific Optimizations Supporting Real-Time Image Compression

Jiri Matela

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Tags: Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Optimization, Thesis

November 28, 2011 by hgpu

Coupler Design and Optimization by GPU-Accelerated DG-FEM

C. Potratz, H.-W. Glock, U. van Rienen

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 470, Optimization

November 25, 2011 by hgpu

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, Data mining, MapReduce, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Review

November 24, 2011 by hgpu

Accelerating Protein Sequence Search in a Heterogeneous Computing System

Shucai Xiao, Heshan Lin, Wu-chun Feng

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Tags: Algorithms, Bioinformatics, Biology, BLAST, Databases, Heterogeneous systems, nVidia, Optimization, Tesla C1060, Tesla C2050

November 23, 2011 by hgpu

An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

Guangye Chen, Luis Chacon, Daniel C. Barnes

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Tags: Algorithms, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 580, Optimization, Particle-in-cell methods, Physics, Plasma physics

November 23, 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

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high performance computing on graphics processing units: hgpu.org

GPU-Based Parallel Multi-objective Particle Swarm Optimization

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

Parallel-META: A high-performance computational pipeline for metagenomic data analysis

Auto-optimization of a Feature Selection Algorithm

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Domain-Specific Optimizations Supporting Real-Time Image Compression

Coupler Design and Optimization by GPU-Accelerated DG-FEM

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Accelerating Protein Sequence Search in a Heterogeneous Computing System

An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

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

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