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)
- DeepSeek-V4-Flash on AMD gfx90a: Correctness Recovery and Inference Performance Engineering
- AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
- Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws
- PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving
- Hardware-Aware FP4 FlashAttention-4
- Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable
- pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
- Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures
- Stencil Computation at the Intersection of AI and HPC
- 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
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