hgpu.org » Approximate computing and storage
Stefano Cherubin, Giovanni Agosta
Tags: Approximate computing and storage, Computer science, CUDA, HPC, Mixed precision, nVidia, OpenCL, Precision, survey
May 3, 2020 by hgpu
Sparsh Mittal
January 14, 2016 by sparsh0mittal
Recent source codes
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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
- FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
- DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
- CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
- ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants
- Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs
- KEET: Explaining Performance of GPU Kernels Using LLM Agents
- CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs
- A Human–Machine Collaborative Tuning Framework for Triton Kernel Optimization on SIMD Platforms
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