HGPU group @hgpu
High performance computing on graphics processing units (GPU): AMD/ATI, nVidia, Intel Xeon Phi, CUDA, OpenCL, OpenGL, GPGPU, HPC hgpu.org Joined May 2011-
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ATTUNE: Agentic Throughput Tuning for LLM Training #CUDA #LLM #Package hgpu.org/?p=31410
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GPU Goldmines: Tunable WebGPU Kernels for Edge LLM Inference #CUDA #OpenCL #LLM hgpu.org/?p=31409
A New Lens on Multi-GPU Communication: API-Level Memory Models for Portable Optimization #AMD #HPC #MemoryModel hgpu.org/?p=31408
Understanding NVIDIA Grace-Blackwell Unified Memory Through Placement-Controlled Microbenchmarks #CUDA #Performance #NVIDIA #Blackwell #Memory hgpu.org/?p=31407
AgentGarten: Code Worlds for Evolving Agents #CUDA #Triton #LLM #Package hgpu.org/?p=31390
A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation #CUDA #Package hgpu.org/?p=31389
ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action Inference #LLM #Robotics hgpu.org/?p=31388
GPU Acceleration of Awkward Arrays: Using Python cuda.compute #CUDA #Physics #Python hgpu.org/?p=31387
KernelLens: Deploying Triton Kernels to C++ Inference Engines #Triton #CUDA #PTX #Package hgpu.org/?p=31386
[Book] Introduction to Computer Vision #Book #ComputerVision #OpenCV #Python hgpu.org/?p=31344
KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation #CUDA #Triton #LLM #Package hgpu.org/?p=31343
AIM: Agentic Idea Management for Automated Research #CUDA #LLM hgpu.org/?p=31342
Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions #ISA #CodeGeneration #ML #Compilers #Package hgpu.org/?p=31341
AI as a Compiler: Compiling Triton kernels without the Triton compiler #Triton #PTX #LLM hgpu.org/?p=31340
KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization #Triton #CUDA #DeepLearning #LLM hgpu.org/?p=31275
Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing #LLM #Performance hgpu.org/?p=31274
Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X #CUDA #ROCm #AMD #vLLM hgpu.org/?p=31273
Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures #CUDA #LLM #Package hgpu.org/?p=31272
pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation #Python #Cloud #CI #Package hgpu.org/?p=31271
Satoshi Matsuoka @ProfMatsuoka
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