high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Synthesis of Platform Architectures from OpenCL Programs

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

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

May 21, 2011 by hgpu

Parallel compact roadmap construction of 3D virtual environments on the GPU

Avi Bleiweiss

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Tags: Computer science, CUDA, Hardware Architecture, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Presentation

May 17, 2011 by hgpu

Iterative SLE Solvers over a CPU-GPU Platform

Alecio P.D. Binotto, Christian Daniel, Daniel Weber, Arjan Kuijper, Andre Stork, Carlos Pereira, Dieter Fellner

Tags: Algorithms, Fluid dynamics, Heterogeneous systems, Linear Algebra

May 14, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators

C.J. Gillan, T. Steinke, J. Bock, S. Borchert, I. Spence, N.S. Scott

Tags: FPGA, Heterogeneous systems, Physics, Quantum Physics

May 5, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Reza Farivar, Abhishek Verma, Ellick M. Chan, Roy H. Campbell

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9800 GX2, nVidia Quadro FX 570

April 22, 2011 by hgpu

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Wang Lei, Zhang Yunquan, Zhang Xianyi, Liu Fangfang

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Linear Algebra, Mixed precision, nVidia, nVidia GeForce GTX 295, Tesla C1060

April 20, 2011 by hgpu

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Qiang Li, Panyong Zhang, Ninghui Sun

Tags: Cell processor, Computer science, FPGA, Heterogeneous systems, Memory, Performance

April 19, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

Building a Personal High Performance Computer with Heterogeneous Processors

Qiang Li, Zhigang Huo, Ninghui Sun

Tags: Computer science, Heterogeneous systems, Performance

April 18, 2011 by hgpu

Exploiting Computational Resources in Distributed Heterogeneous Platforms

George Teodoro, Rafael Sachetto, Daniel Fireman, Dorgival Guedes, Renato Ferreira

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260

April 16, 2011 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

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high performance computing on graphics processing units: hgpu.org

Synthesis of Platform Architectures from OpenCL Programs

Parallel compact roadmap construction of 3D virtual environments on the GPU

Iterative SLE Solvers over a CPU-GPU Platform

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators

Optimized HPL for AMD GPU and multi-core CPU usage

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Building a Personal High Performance Computer with Heterogeneous Processors

Exploiting Computational Resources in Distributed Heterogeneous Platforms

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

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