high performance computing on graphics processing units: hgpu.org

hgpu.org » Code generation

On Expressing Different Concurrency Paradigms on Virtual Execution Systems

Cristian Dittamo

Tags: Cell processor, Code generation, Computer science, Virtualization

July 2, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

A Modeling Approach based on UML/MARTE for GPU Architecture

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser

View

Download (PDF)

Tags: Code generation, Computer science, Conjugate gradient solver, nVidia, OpenCL, Tesla S1070

May 24, 2011 by hgpu

Multilevel Granularity Parallelism Synthesis on FPGAs

Alexandros Papakonstantinou, Yun Liang, John A. Stratton, Karthik Gururaj, Deming Chen, Wen-Mei W. Hwu, Jason Cong

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GX2

May 21, 2011 by hgpu

Synthesis of Platform Architectures from OpenCL Programs

Muhsen Owaida, Nikolaos Bellas, Konstantis Daloukas, Christos D. Antonopoulos

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, Electronic design automation, Embedded high-performance computing, FPGA, Heterogeneous systems, OpenCL

May 21, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

View

Download (PDF)

Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Dan Li, Haijun Cao, Xiaoshe Dong, Bao Zhang

Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia

April 23, 2011 by hgpu

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Seyong Lee, Rudolf Eigenmann

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP

April 23, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

Parallel Lexicographic Names Construction with CUDA

Weidong Sun, Zongmin Ma

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9600 GSO, Suffix trees

April 16, 2011 by hgpu

Automated development of applications for graphical processing units using rewriting rules

Anatoliy Yu. Doroshenko, Konstantin Zhereb

Tags: Code generation, Computer science, High-level Languages, Programming techniques

April 12, 2011 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

On Expressing Different Concurrency Paradigms on Virtual Execution Systems

A framework for parallel unstructured grid applications on GPUs

A Modeling Approach based on UML/MARTE for GPU Architecture

Multilevel Granularity Parallelism Synthesis on FPGAs

Synthesis of Platform Architectures from OpenCL Programs

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Parallel Lexicographic Names Construction with CUDA

Automated development of applications for graphical processing units using rewriting rules

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)