Computer science | Page 396

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GPU-Accelerated Standardand Multi-Population Cultural Algorithms

Jianqiang Dong and Bo Yuan

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

March 7, 2013 by hgpu

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Krisztian Mihaly, Oliver Hornyak

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 520 M, Task scheduling

March 7, 2013 by hgpu

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

Jin Wangy, Norman Rubinz, Haicheng Wuy, Sudhakar Yalamanchiliy

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Tags: Algorithms, ATI, ATI Radeon HD 7660, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance, Vehicular traffic

March 5, 2013 by hgpu

Parallel Ray Tracing in Scientific Visualization

Carson Brownlee

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro FX 5800, OpenGL, Rasterization, Raytracing, Rendering, Thesis, Visualization

March 5, 2013 by hgpu

Parallel Algorithm for Generation of Test Recommended Path using CUDA

Zhao Yu, Jae-Han Cho, Byoung-Woo Oh, Lee-Sub Lee

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Tags: Algorithms, Computer science, CUDA, nVidia

March 5, 2013 by hgpu

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Adrian Pousa, Victoria Sanz, Armando de Giusti

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Tags: AES, Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance, Security

March 5, 2013 by hgpu

Large-scale Virtual Acoustics Simulation at Audio Rates Using Three Dimensional Finite Difference Time Domain and Multiple GPUs

Craig J. Webb, Alan Gray

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Rendering, Tesla C2050

March 5, 2013 by hgpu

OpenOF: Framework for Sparse Non-linear Least Squares Optimization on a GPU

Cornelius Wefelscheid, Olaf Hellwich

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Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Package, Python

March 2, 2013 by hgpu

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

Panagiotis D. Michailidis, Konstantinos G. Margaritis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

March 2, 2013 by hgpu

On Performance of GPU and DSP Architectures for Computationally Intensive Applications

John Faella

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Tags: Algorithms, Computer science, CUDA, DSP, nVidia, nVidia GeForce GT 540 M, Programming techniques, Thesis

March 2, 2013 by hgpu

Parallel Peeling Algorithms

Jiayang Jiang, Michael Mitzenmacher, Justin Thaler

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C2070

March 2, 2013 by hgpu

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Eike Mueller, Xu Guo, Robert Scheichl, Sinan Shi

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Differential equations, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 2, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

GPU-Accelerated Standardand Multi-Population Cultural Algorithms

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

Parallel Ray Tracing in Scientific Visualization

Parallel Algorithm for Generation of Test Recommended Path using CUDA

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Large-scale Virtual Acoustics Simulation at Audio Rates Using Three Dimensional Finite Difference Time Domain and Multiple GPUs

OpenOF: Framework for Sparse Non-linear Least Squares Optimization on a GPU

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

On Performance of GPU and DSP Architectures for Computationally Intensive Applications

Parallel Peeling Algorithms

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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