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Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Sorting, Tesla M2090

March 1, 2014 by hgpu

Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems

Giuseppe Massari, Chiara Caffarri, Patrick Bellasi, William Fornaciari

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Tags: ATI, ATI Radeon HD 7750, Computer science, OpenCL, Task scheduling

February 28, 2014 by jumanix

Expanding the VPE-qGM Environment Towards a Parallel Quantum Simulation of Quantum Processes Using GPUs

Adriano Maron, Renata Reiser, Mauricio Pilla, Adenauer Yamin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, Quantum computing

February 28, 2014 by hgpu

A high performance computing for AOM stock trading order matching using GPU

Ketsarin Rungraung, Putchong Uthayopas

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Tags: CUDA, Finance, nVidia, OpenMPI, Tesla M2050

February 28, 2014 by hgpu

Performance Assessment of A Multi-block Incompressible Navier-Stokes Solver using Directive-based GPU Programming in a Cluster Environment

Lixiang Luo, Jack R. Edwards, Hong Luo, Frank Mueller

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenACC, Tesla K20

February 28, 2014 by hgpu

Scheduling data flow program in xkaapi: A new affinity based Algorithm for Heterogeneous Architectures

Raphael Bleuse, Thierry Gautier, Joao V. F. Lima, Gregory Mounie, Denis Trystram

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Tesla C2050

February 28, 2014 by hgpu

Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Benoit Lange, Pierre Fortin

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Tags: Algorithms, Astrophysics, CUDA, N-body simulation, nVidia, Tesla C2070, Tesla K20

February 27, 2014 by hgpu

Face Recognition Using OpenCL

M. Surumbarkhuzhali, P. Rachelin Sujae

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Tags: ATI, Biometrics, Computer science, Computer vision, OpenCL

February 27, 2014 by hgpu

G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization

Lei Zhang, Kuanquan Wang, Wangmeng Zuo, Changqing Gai

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Tags: CUDA, Heart, Medicine, nVidia, Rendering, Tesla C1060, Visualization

February 27, 2014 by hgpu

Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code

Zheng Wang, Daniel Powell, Bjorn Franke, Michael O'Boyle

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

February 27, 2014 by hgpu

Extending the Generalized Fermat Prime Number Search Beyond One Million Digits Using GPUs

Iain Bethune, Michael Goetz

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 460, Package

February 27, 2014 by hgpu

Real-Time GPU Implementation of Transverse Oscillation Vector Velocity Flow Imaging

David Pierson Bradway, Michael Johannes Pihl, Andreas Krebs, Borislav Gueorguiev Tomov, Carsten Straso Kjaer, Svetoslav Ivanov Nikolov, Jorgen Arendt Jensen

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Image processing, OpenCL, Ultrasound, Visualization

February 26, 2014 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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