high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

OpenCL Task Partitioning in the Presence of GPU Contention

Dominik Grewe, Zheng Wang, and Michael F.P. O'Boyle

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Intel, Intel HD Graphics 4000, Machine learning, OpenCL, Task scheduling

September 25, 2013 by hgpu

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Michael Boyer

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Biology, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Software Engineering, Thesis

September 23, 2013 by hgpu

Algorithmic GPGPU Memory Optimization

Byunghyun Jang, Minsu Choi, Kyung Ki Kim

View

Download (PDF)

Tags: Algorithms, Computer science, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 285, OpenCL, Performance

September 15, 2013 by hgpu

Porting to the Intel Xeon Phi: Opportunities and Challenges

C. Rosales

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, Intel Phi, MPI, nVidia, Optimization, Performance

September 15, 2013 by hgpu

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

Dong Li, Seyong Lee, Jeffrey S. Vetter

View

Download (PDF)

Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia

September 11, 2013 by hgpu

A Bi-objective Optimization Framework for Query Plans

P. Przymus, K. Kaczmarski, K. Stencel

View

Download (PDF)

Tags: Heterogeneous systems, Performance, Programming techniques

September 7, 2013 by hgpu

Phase Aware Memory Scheduling

C. Sangani, M. Venkatesan, R. Ramesh

View

Download (PDF)

Tags: Heterogeneous systems, Memory, Memory model

September 6, 2013 by hgpu

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

R.J. Vickery, H. Thornburg, T. Wischgoll, C. Koehler, H. Dong, M. Pickett, N. Eikenberry, L. Harris, R. Snyder, D. Sanders, R. Hand

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia

September 5, 2013 by hgpu

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

J. Lee, M. Samadi, Y. Park, S. Mahlke

View

Download (PDF)

Tags: Data parallelism, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, nVidia Quadro 600, OpenCL

September 5, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 by hgpu

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

James King, Robert M. Kirby

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

August 31, 2013 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

* * *

high performance computing on graphics processing units: hgpu.org

OpenCL Task Partitioning in the Presence of GPU Contention

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Algorithmic GPGPU Memory Optimization

Porting to the Intel Xeon Phi: Opportunities and Challenges

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

A Bi-objective Optimization Framework for Query Plans

Phase Aware Memory Scheduling

Work in Progress: Vortex Detection and Visualization for Design of Micro Air Vehicles and Turbomachinery

Transparent CPU-GPU Collaboration for Data-Parallel Kernels on Heterogeneous Systems

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

Most viewed papers (last 30 days)