hgpu.org » Reverse Engineering
Jianbin Fang, Henk Sips, Pekka Jaaskelainen, Ana Lucia Varbanescu
Tags: ATI, ATI Radeon HD 7970, Intel Xeon Phi, Local memory, nVidia, OpenCL, Reverse Engineering, Tesla C2050, Tesla K20
June 16, 2014 by jfang
Recent source codes
* * *
Most viewed papers (last 30 days)
- Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight
- Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs
- DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
- FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
- CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
- CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs
- KEET: Explaining Performance of GPU Kernels Using LLM Agents
- ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants
- Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs
- A Human–Machine Collaborative Tuning Framework for Triton Kernel Optimization on SIMD Platforms
* * *



