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Stencil Computation at the Intersection of AI and HPC

Timothee Ewart, Mauricio Araya-Polo

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Tags: AI, AMD, AMD Radeon Instinct MI325X, Computer science, HPC, Intel Arc B580, Intel B70, Intel Data Center GPU Max 1550, nVidia, nVidia A100, nVidia H100, nVidia RTX PRO 6000, performance portability, Stencil computation, SYCL, Triton

September 14, 2026 by hgpu

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Alexander Strack, Marcel Graf, Alexander Van Craen, Dirk Pflüger

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Tags: AMD, AMD Radeon Instinct MI210, Computer science, Heterogeneous systems, Intel, Lattice Boltzmann model, nVidia, nVidia A30, Package, performance portability, SYCL, Visualization

August 4, 2026 by hgpu

KernelFoundry: Hardware-aware evolutionary GPU kernel optimization

Nina Wiedemann, Quentin Leboutet, Michael Paulitsch, Diana Wofk, Benjamin Ummenhofer

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Tags: Code generation, Computer science, CUDA, LLM, nVidia, nVidia RTX A6000, SYCL

March 18, 2026 by hgpu

A Survey of Recent Developments in SYCL Compiler Implementations

Huy Trinh

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Tags: Compilers, Computer science, Heterogeneous systems, SYCL

March 1, 2026 by hgpu

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

Marcin Spoczynski, Marcela S. Melara

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Tags: Computer science, Machine learning, nVidia, oneAPI, Package, PyTorch, Rust, Security, SYCL

November 2, 2025 by hgpu

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

Aksel Alpay, Vincent Heuveline

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Tags: AMD Radeon Pro VII, ATI, Benchmarking, Computer science, CUDA, HIP, Intel UHD 630, nVidia, nVidia RTX A5000, Package, Performance, SYCL

October 19, 2025 by hgpu

An HPC Benchmark Survey and Taxonomy for Characterization

Andreas Herten, Olga Pearce, Filipe S. M. Guimarães

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Tags: Benchmarking, Computer science, CUDA, Fortran, HIP, HPC, MPI, OpenACC, OpenCL, OpenMP, Package, Performance, ROCm, SYCL

September 14, 2025 by hgpu

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

Evelyne Ringoot, Rabab Alomairy, Valentin Churavy, Alan Edelman

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Tags: AMD Radeon Instinct MI250, Apple M1 Pro, ATI, Computer science, HIP, Intel, Intel Ponte Vecchio Max 1100, Kokkos, Linear Algebra, Machine learning, nVidia, nVidia A100, nVidia GeForce RTX 4060, nVidia H100, OpenCL, SYCL

August 17, 2025 by hgpu

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

Hari Abram, Nikela Papadopoulou, Miquel Pericas

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Tags: Benchmarking, Computer science, Heterogeneous systems, oneAPI, OpenCL, OpenMP, Package, SYCL

June 8, 2025 by hgpu

Exploring SYCL for batched kernels with memory allocations

Aymeric Millan, Thomas Padioleau, Julien Bigot

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Tags: AMD Radeon Instinct MI250X, ATI, Computer science, CUDA, FFT, Neural networks, nVidia, nVidia A100, Package, performance portability, SYCL

May 25, 2025 by hgpu

Dynamic Memory Management on GPUs with SYCL

Russell K. Standish

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Tags: Computer science, CUDA, HIP, Memory model, nVidia, Package, Performance, SYCL

May 4, 2025 by hgpu

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

Timothée David--Cléris, Guillaume Laibe, Yona Lapeyre

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Tags: AMD, AMD Radeon Instinct MI250X, Astrophysics, CUDA, MPI, nVidia, nVidia A100, OpenMP, Package, Physics, PTX, ROCm, SYCL

March 23, 2025 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Stencil Computation at the Intersection of AI and HPC

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

KernelFoundry: Hardware-aware evolutionary GPU kernel optimization

A Survey of Recent Developments in SYCL Compiler Implementations

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

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

An HPC Benchmark Survey and Taxonomy for Characterization

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

Exploring SYCL for batched kernels with memory allocations

Dynamic Memory Management on GPUs with SYCL

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

Recent source codes

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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