high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Parallelization of Encryption and Hashing Algorithm Using GPU

Vijay J.Bodake, D.B.Bangal, K.B.Dhatrak

View

Download (PDF)

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 680, Security

October 31, 2015 by hgpu

A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi

Ioannis E. Venetis, Alexandros Sobczyk, Alexandros Kouris, Alexandros Nakos, Nikolaos Nikoloutsakos, Efstratios Gallopoulos

View

Download (PDF)

Tags: Computer science, Factorization, Intel Xeon Phi, Linear Algebra, nVidia

October 31, 2015 by hgpu

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

Ayaz ul Hassan Khan, Mayez Al-Mouhamed, Allam Fatayer, Anas Almousa, Abdulrahman Baqais, Mohammed Assayony

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 7000, Performance

October 29, 2015 by hgpu

CLOP: A Multi-stage Compiler to Seamlessly Embed Heterogeneous Code

Dmitri Makarov, Matthias Hauswirth

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, OpenCL, Package

October 29, 2015 by hgpu

GPU Ray-Traced Collision Detection for Cloth Simulation

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, AMD FirePro W9100, ATI, Collision detection, Computer science, OpenCL, Raytracing

October 29, 2015 by hgpu

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, NLP, nVidia

October 29, 2015 by hgpu

Approximation of BEM matrices using GPGPUs

Steffen Borm, Sven Christophersen

View

Download (PDF)

Tags: Computer science, Fast multipole method, Mathematical Software, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL

October 29, 2015 by hgpu

Compiling and Optimizing Java 8 Programs for GPU Execution

Kazuaki Ishizaki, Akihiro Hayashi, Gita Koblents, Vivek Sarkar

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, Java, nVidia, OpenCL, Tesla K40

October 27, 2015 by ahayashi

Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection

Akihiro Hayashi, Kazuaki Ishizaki, Vivek Sarkar, Gita Koblents

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, Java, Machine learning, nVidia, OpenCL, Tesla K40

October 27, 2015 by ahayashi

ZNN – A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines

Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung

View

Download (PDF)

Source codes

Tags: CNN, Computer science, Computer vision, Deep learning, FFT, Intel Xeon Phi, Machine learning, Package

October 25, 2015 by hgpu

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Fabio Soldado, Fernando Alexandre, Herve Paulino

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance

October 25, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 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

Parallelization of Encryption and Hashing Algorithm Using GPU

A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

CLOP: A Multi-stage Compiler to Seamlessly Embed Heterogeneous Code

GPU Ray-Traced Collision Detection for Cloth Simulation

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

Approximation of BEM matrices using GPGPUs

Compiling and Optimizing Java 8 Programs for GPU Execution

Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection

ZNN – A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

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)