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OCLoptimizer: An Iterative Optimization Tool for OpenCL

Jorge F. Fabeiro, Diego Andrade, Basilio B. Fraguela

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Tags: Computer science, Genetic programming, OpenCL, Optimization

June 10, 2013 by hgpu

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Mohsin Altaf Wani, S.M.K Quadri

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Programming techniques

June 8, 2013 by hgpu

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Alwyn V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization

June 7, 2013 by hgpu

Tiling optimizations for stencil computations

Xing Zhou

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Thesis

May 31, 2013 by hgpu

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Maida Arnautovic, Maida Curic, Emina Dolamic, Novica Nosovic

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 420 M, OpenMP, Optimization, Path problems

May 30, 2013 by hgpu

Solving the Coalition Structure Generation Problem on a GPU

Kim Svensson, Sarvapali D. Ramchurn, Francisco Cruz, Juan-Antonio Rodriguez-Aguilar, Jesus Cerquides

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Optimization

May 19, 2013 by hgpu

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

R. Gaetano, G. Chierchia, B. Pesquet-Popescu

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Tags: Algorithms, Computer science, nVidia, OpenCL, Optimization, Stereo vision, Tesla C1060

May 9, 2013 by hgpu

Real-time Stochastic Optimization of Complex Energy Systems on High Performance Computers

Cosmin G. Petra, Olaf Schenk, Mihai Anitescu

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla K20

May 4, 2013 by hgpu

Optimizing Similarity Computations for Ontology Matching – Experiences from GOMMA

Michael Hartung, Lars Kolb, Anika Gross, Erhard Rahm

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Optimization, String matching

May 3, 2013 by hgpu

Multigrid Optimization Methods for High Performance Computing

Christian Wagner

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

April 29, 2013 by hgpu

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Andrew White

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Tesla S1070, Thesis

April 27, 2013 by hgpu

On the Efficacy of GPU-Integrated MPI for Scientific Applications

Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Milind Chabbi, Karthik Murthy, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John Mellor-Crummey, Xiaosong May, Rajeev Thakur

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Seismology, Tesla M2050

April 22, 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 plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

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