Heterogeneous systems | Page 96

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Zheng Wei, Joseph JaJa

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Heterogeneous systems, nVidia, Tesla C1060

December 28, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Efficient Knowledge Extraction from Structured Data

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Building Source-to-Source Compilers for Heterogeneous Targets

Augmenting Operating Systems With the GPU

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Engineering Concurrent Software Guided by Statistical Performance Analysis

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Modeling Parallel Programs for Heterogeneous Computing

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

Most viewed papers (last 30 days)