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Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Heterogeneity-aware Fault Tolerance using a Self-Organizing Runtime System

Mario Kicherer, Wolfgang Karl

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 560 Ti, Operating systems

May 17, 2014 by hgpu

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Christoph Kessler, Usman Dastgeer, Lu Li

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Review, Tesla C2050

May 15, 2014 by hgpu

Code Optimization and Performance Analysis of Oceanographic Software Package NEMO for GPGPU Systems

Plamenka Borovska, Desislava Ivanova

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Tags: CUDA, Earth and Space Sciences, Heterogeneous systems, nVidia, Tesla M2075

May 12, 2014 by hgpu

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Robert F. Lyerly

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Tags: Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, Machine learning, nVidia, OpenCL, OpenMP, Task scheduling, Tesla C2075

May 9, 2014 by hgpu

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Brice Goglin

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

May 7, 2014 by hgpu

Implementing an efficient method of check-pointing on CPU-GPU

Harsha Sutaone, Sharath Prasad, Sumanth Suraneni

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Tags: ATI, Computer science, Heterogeneous systems, OpenCL

May 6, 2014 by hgpu

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Anirudh Mohan Kaushik

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Tesla C2075, Thesis

May 5, 2014 by hgpu

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li, Juan Yi

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Task scheduling

April 29, 2014 by hgpu

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

A. Castello, J. Duato, R. Mayo, A. J. Pena, E. S. Quintana-Orti, V. Roca, F. Silla

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Tags: Bioinformatics, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Virtualization

April 27, 2014 by hgpu

Integrating multi-threading and accelerators into DUNE-ISTL

Steffen Muthing, Dirk Ribbrock, Dominik Goddeke

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, MPI, nVidia, Partial differential equations, PDEs, Tesla C2070

April 25, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

Qwen3-235B @ 1M tokens on AMD MI355X

CHUNDER: Enabling Million-Token Qwen3 Serving on AMD ROCm

CUDA++ for the NVIDIA DGX Spark

Reverse Engineering the CUDA Software Stack: A Clean-Room GPU Machine-Code Toolchain for the NVIDIA GB10

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

See all packages

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high performance computing on graphics processing units: hgpu.org

Hierarchical Transparent Programming for Heterogeneous Computing

Heterogeneity-aware Fault Tolerance using a Self-Organizing Runtime System

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Code Optimization and Performance Analysis of Oceanographic Software Package NEMO for GPGPU Systems

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Implementing an efficient method of check-pointing on CPU-GPU

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

Integrating multi-threading and accelerators into DUNE-ISTL

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Recent source codes

Qwen3-235B @ 1M tokens on AMD MI355X

CUDA++ for the NVIDIA DGX Spark

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

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