DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation #Triton #CUDA #LLM hgpu.org?p=30706

High-level Programming of Vulkan-based GPUs Through OpenMP #OpenMP #Vulkan hgpu.org?p=30705

Mixed-precision numerics in scientific applications: survey and perspectives #GPU #MixedPrecision #Review hgpu.org?p=30704

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search #CUDA #Triton #Package hgpu.org?p=30703

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context #Triton #ROCm #DeepLearning #Package hgpu.org?p=30696

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices? #CUDA #LLM #CodeGeneration hgpu.org?p=30695

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits #CUDA #Triton #Benchmarking #Package hgpu.org?p=30694

Architecture-Aware LLM Inference Optimization on AMD Instinct GPUs: A Comprehensive Benchmark and Deployment Study #AMD #LLM #Benchmarking hgpu.org?p=30693

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs #CUDA #LLM #Package hgpu.org?p=30692

Hunting CUDA Bugs at Scale with cuFuzz #CUDA #Package hgpu.org?p=30681

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity #Precision #CNN #Package hgpu.org?p=30680

KernelFoundry: Hardware-aware evolutionary GPU kernel optimization #CUDA #SYCL #LLM hgpu.org?p=30679

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU #Triton #NVIDIA #AMD #LLM hgpu.org?p=30678

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization #CUDA #LLM #Performance #Package hgpu.org?p=30665

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts #CUDA #Package hgpu.org?p=30664

AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU #CUDA #LLM hgpu.org?p=30663

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery #LLM #AI #Package hgpu.org?p=30662

Diagnosing FP4 inference: a layer-wise and block-wise sensitivity analysis of NVFP4 and MXFP4 #LLM #FP4 #NVFP4 #MXFP4 #Precision #AMD #NVIDIA hgpu.org?p=30661

CONCUR: Benchmarking LLMs for Concurrent Code Generation #CodeGeneration #LLM #Package hgpu.org?p=30644

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform #LLM #Package hgpu.org?p=30643

Ray Tracing using HIP #HIP #AMD #Raytracing #Rendering #Package hgpu.org?p=30642

Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent #Chemistry #LLM #Catalyst hgpu.org?p=30641

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs #CUDA #LLM #Hopper #FP4 #Precision #Package hgpu.org?p=30640

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation #CUDA #LLM #Benchmarking #Package hgpu.org?p=30630

StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning #CUDA #CodeGeneration #LLM hgpu.org?p=30629

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation #CUDA #CodeGenerarion #LLM #Package hgpu.org?p=30628

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models #CodeGeneration #LLM #Package hgpu.org?p=30620

CL4SE: A Context Learning Benchmark For Software Engineering Tasks #CodeGeneration #LLM #Package hgpu.org?p=30619

From Prompts to Performance: Evaluating LLMs for Task-based Parallel Code Generation #OpenMP #LLM #CodeGeneration hgpu.org?p=30618

A Survey of Recent Developments in SYCL Compiler Implementations #SYCL #Compilers hgpu.org?p=30617

Joint Training on AMD and NVIDIA GPUs #CUDA #ROCm #LLM #NVIDIA #AMD hgpu.org?p=30616

Fine-Tuning GPT-5 for GPU Kernel Generation #Triton #CUDA #LLM hgpu.org?p=30592

KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning #CUDA #LLM #Performance hgpu.org?p=30591

HPC++: An LLVM-Based Automatic Parallelization Framework with Heterogeneous CPU–GPU Execution #OpenCL #HPC #LLVM hgpu.org?p=30590

OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization #CUDA #LLM #Performance hgpu.org?p=30588

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5 #LLM #Security #Package hgpu.org?p=30589

Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A #AMD #HIP #ROCm hgpu.org?p=30572

Improving Code Generation via Small Language Model-as-a-judge #CodeGeneration #LLM hgpu.org?p=30571

Deep Kernel Fusion for Transformers #CUDA #LLM #Performance hgpu.org?p=30570

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels #CUDA #LLM #CodeGeneration #Package hgpu.org?p=30569

Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards #CUDA #OpenMP #HPC #CodeGeneration #LLM hgpu.org?p=30568

Inside VOLT: Designing an Open-Source GPU Compiler (Tool) #OpenCL #CUDA #FPGA #Compilers #Package hgpu.org?p=30544

HetCCL: Accelerating LLM Training with Heterogeneous GPUs #LLM #DeepLearning #DL hgpu.org?p=30545

Just-in-Time Catching Test Generation at Meta #LLM #Testing hgpu.org?p=30543

Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters #CUDA #Triton #Compilers hgpu.org?p=30542

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques #LLM #Gemini #Review hgpu.org?p=30541

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations #CUDA #Triton #Package hgpu.org?p=30540

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models #LLM #NLP #Package hgpu.org?p=30539

Generating Literature-Driven Scientific Theories at Scale #LLM #Package hgpu.org?p=30521

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs #CUDA #LLM #Package hgpu.org?p=30520