Optimization | Page 7

hgpu.org » Optimization

Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

Pei-Hung Lin

View

Download (PDF)

Tags: CUDA, Fluid dynamics, nVidia, Optimization, Tesla C2070, Thesis

August 30, 2013 by hgpu

Solutions for Optimizing the Monte Carlo Option Pricing Method’s Implementation Using the Compute Unified Device Architecture

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

View

Download (PDF)

Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 680, Optimization

August 27, 2013 by hgpu

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

John T. O'Donnell, Cordelia V. Hall

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

August 26, 2013 by hgpu

Formal specification and verification of OpenCL Kernel optimization

Jeroen Vonk

View

Download (PDF)

Tags: Computer science, nVidia, OpenCL, Optimization, Tesla S2050, Thesis

August 17, 2013 by hgpu

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasley

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

Strategies for Optimization of Parallel Programs

Alcides Fonseca

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

August 3, 2013 by hgpu

Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

Slo-Li Chu, Chih-Chieh Hsiao

View

Download (PDF)

Tags: ATI, ATI Radeon HD 4670, ATI Radeon HD 5850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 285, OpenCL, Optimization, Playstation

July 19, 2013 by hgpu

A GPU Implementation of Local Search Operators for Symmetric Travelling Salesman Problem

Juraj Fosin, Davor Davidovic, Tonci Caric

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Optimization, Search

July 3, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 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

Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

Solutions for Optimizing the Monte Carlo Option Pricing Method’s Implementation Using the Compute Unified Device Architecture

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

Formal specification and verification of OpenCL Kernel optimization

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Strategies for Optimization of Parallel Programs

Image reconstruction in digital holographic microscopy on GPU

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

A GPU Implementation of Local Search Operators for Symmetric Travelling Salesman Problem

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

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)