hgpu.org » nVidia Grid K1
James Gleeson
Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 480, nVidia GeForce RTX 2080 Ti, nVidia Grid K1, Optimization, Package, Performance, Tesla V100, Thesis, Virtualization
July 2, 2023 by hgpu
Dany Vohl, Christopher J. Fluke, David G. Barnes, Amr H. Hassan
Tags: Algorithms, Astrophysics, Filtering, GLSL, Image processing, nVidia, nVidia GeForce GT 750 M, nVidia GeForce GTX Titan X, nVidia Grid K1, Package, Rendering
July 5, 2017 by hgpu
James Gleeson, Daniel Kats, Charlie Mei, Eyal de Lara
Tags: Computer science, nVidia, nVidia Grid K1, OpenCL, Virtualization
June 10, 2017 by hgpu
Recent source codes
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Most viewed papers (last 30 days)
- 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
- Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures
- pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
- KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization
- AI as a Compiler: Compiling Triton kernels without the Triton compiler
- Understanding NVIDIA Grace-Blackwell Unified Memory Through Placement-Controlled Microbenchmarks
- Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions
- Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing
- AgentGarten: Code Worlds for Evolving Agents
- Introduction to Computer Vision
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