Computer science | Page 461

hgpu.org » Computer science

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Kerem Par, Oguz Tosun

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

May 15, 2012 by hgpu

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060

May 14, 2012 by hgpu

Scalable Distributed Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla C2050

May 12, 2012 by hgpu

Parallel Cryptanalysis

Ruben Falko Niederhagen

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 295, PTX, Security, Thesis

May 12, 2012 by hgpu

Characterization and Transformation of Unstructured Control Flow in Bulk Synchronous GPU Applications

Haicheng Wu, Gregory Diamos, Jin Wang, Si Li, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, OpenCL

May 12, 2012 by hgpu

Enhancing GPU Parallelism in Nature-Inspired Algorithms

Jose M. Cecilia, Andy Nisbet, Martyn Amos, Jose M. Garcia, Manuel Ujaldon

View

Download (PDF)

Tags: Algorithms, Computational modelling, Computer science, CUDA, Data parallelism, nVidia, Optimization, P systems, Tesla C1060, Tesla C2050

May 12, 2012 by hgpu

Efficient Parallelization of Natural Language Applications using GPUs

Chao-Yue Lai

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, Thesis

May 11, 2012 by hgpu

Data Regression with Normal Equation on GPU using CUDA

Vaibhav Mohan, Mayank Gupta

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia

May 11, 2012 by hgpu

Large scale parallel state space search utilizing graphics processing units and solid state disks

Damian Sulewski

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Probabilistic model checking, Search strategies, Thesis

May 11, 2012 by hgpu

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Minsoo Rhu, Mattan Erez

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Programming techniques

May 11, 2012 by hgpu

Enhancing data parallelism for Ant Colony Optimization on GPUs

Jose M. Cecilia, Jose M. Garcia, Andy Nisbet, Martyn Amos, Manuel Ujaldon

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Optimization, Tesla C2050

May 10, 2012 by hgpu

A GPU-Accelerated Algorithm for Self-Organizing Maps in a Distributed Environment

Peter Wittek, Sandor Daranyi

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, Package, Self-organizing map, Tesla M2050

May 10, 2012 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Scalable Distributed Fast Multipole Methods

Parallel Cryptanalysis

Characterization and Transformation of Unstructured Control Flow in Bulk Synchronous GPU Applications

Enhancing GPU Parallelism in Nature-Inspired Algorithms

Efficient Parallelization of Natural Language Applications using GPUs

Data Regression with Normal Equation on GPU using CUDA

Large scale parallel state space search utilizing graphics processing units and solid state disks

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Enhancing data parallelism for Ant Colony Optimization on GPUs

A GPU-Accelerated Algorithm for Self-Organizing Maps in a Distributed Environment

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

Most viewed papers (last 30 days)