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GEARS: A General and Efficient Algorithm for Rendering Shadows

Lili Wang, Ze Wang, Yulong Shi, Voicu Popescu

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

February 28, 2013 by hgpu

Acceleration of the MMFF94 routines within OpenBabel using Eigen and OpenCL

Omar Valerio Minero

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Tags: Chemistry, Molecular modeling, OpenCL, Package, Thesis

February 28, 2013 by hgpu

A Fast and Efficient SIFT Detector Using the Mobile GPU

Blaine Rister, Guohui Wang, Michael Wu, Joseph R. Cavallaro

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Tags: Computer science, Computer vision, nVidia, nVidia Tegra, OpenGL

February 28, 2013 by hgpu

Accelerating Dynamic Binary Translation with GPUs

Chung Hwan Kim, Srikanth Manikarnike, Vaibhav Sharma, Eric Eide, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia ION, Programming techniques

February 28, 2013 by hgpu

Multi-GPU based on multicriteria optimization for motion estimation system

Carlos Garcia, Guillermo Botella, Fermin Ayuso, Manuel Prieto, Francisco Tirado

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Tags: Algorithms, Computer vision, CUDA, Data parallelism, nVidia, Optical flow, Signal processing, Tesla C1060, Tesla M2070

February 27, 2013 by hgpu

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: Chemistry, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

February 27, 2013 by hgpu

Massive Parallel Implementation of ODE Solvers

Cyril Fischer

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 430, nVidia Quadro FX 4000, ODEs, Ordinary differential equations

February 27, 2013 by hgpu

Parallel Shooting and Bouncing Ray Method on GPU Clusters for Analysis of Electro-Magnetic Scattering

Pengcheng Gao, Yubo Tao, Hai Lin

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Tags: CUDA, Electrodynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2050

February 27, 2013 by hgpu

Utilizing Graphics Processing Units for Network Anomaly Detection

Jonathan D. Hersack

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 280, Security, Thesis

February 27, 2013 by hgpu

A Wrapper of OpenCL library for gVirtus Framework

Roberto Di Lauro

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Tags: Cloud, Computer science, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla C1060

February 25, 2013 by hgpu

Advanced Video Coding on CPUs and GPUs: Parallelization and RD Analysis

Svetislav Momcilovic, Aleksandar Ilic, Nuno Roma, Leonel Sousa

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Tags: Algorithms, Compression, CUDA, H.264/AVC, Image processing, nVidia, Signal processing, Video encoding

February 25, 2013 by hgpu

SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner

Ruibang Luo, Thomas Wong, Jianqiao Zhu, Chi-Man Liu, Edward Wu, Lap-Kei Lee, Haoxiang Lin, Wenjuan Zhu, David W. Cheung, Hing-Fung Ting, Siu-Ming Yiu, Chang Yu, Yingrui Li, Ruiqiang Li, Tak-Wah Lam

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, Package, Tesla C2070, Tesla M2050

February 25, 2013 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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