A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
☆606Apr 27, 2026Updated last week
Alternatives and similar repositories for gpu-perf-engineering-resources
Users that are interested in gpu-perf-engineering-resources are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Intel Gaudi's Megatron DeepSpeed Large Language Models for training☆18Dec 19, 2024Updated last year
- Code snippets and reproductions from JustAByte☆45Apr 6, 2026Updated last month
- [PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and min…☆10Aug 13, 2024Updated last year
- Learn CUDA with PyTorch☆291Updated this week
- KalDB is a cloud-native polystore for search and analytics☆37Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Row-wise block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge.☆19Feb 9, 2026Updated 2 months ago
- [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation☆12Jul 13, 2023Updated 2 years ago
- ☆95Nov 11, 2025Updated 5 months ago
- THE ART of MULTIPROCESSOR PROGRAMMING, Maurice Herlihy & Nir Shavit☆10Feb 12, 2023Updated 3 years ago
- ☆1,400Mar 31, 2026Updated last month
- FlashInfer: Kernel Library for LLM Serving☆5,544May 2, 2026Updated last week
- Numerical experiments on Jacobi SVD algorithm☆10Jun 3, 2018Updated 7 years ago
- everything i know about cuda and triton☆13Jan 28, 2025Updated last year
- ☆12May 8, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Write a fast kernel and see how you compare against the best humans and AI on gpumode.com☆93Apr 24, 2026Updated 2 weeks ago
- ☆65Updated this week
- ☆49Aug 27, 2024Updated last year
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆204May 1, 2026Updated last week
- A Quadratic Unconstrained Binary Optimization (QUBO) solver library using quantum and classical approaches☆21Apr 30, 2026Updated last week
- GPU programming related news and material links☆2,120Mar 8, 2026Updated 2 months ago
- General Matrix Multiplication using NVIDIA Tensor Cores☆28Jan 25, 2025Updated last year
- [ICML2025] LoRA fine-tune directly on the INT4 models.☆40Nov 25, 2024Updated last year
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Jun 25, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A series of high-performance GEMM (General Matrix Multiply) implementations Iteratively optimised for H100 GPUs in Pure CUDA.☆77Feb 18, 2026Updated 2 months ago
- High-performance FlashAttention-2 for AMD, Intel, and Apple GPUs. Drop-in replacement for PyTorch SDPA. Triton backend for ROCm (MI300X, …☆158Jan 27, 2026Updated 3 months ago
- This is a repository for the course "Agentic AI Engineering" by Towards AI.☆207Mar 2, 2026Updated 2 months ago
- ☆24Jun 26, 2024Updated last year
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆188Updated this week
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆429Apr 23, 2026Updated 2 weeks ago
- torchcomms: a modern PyTorch communications API☆359Updated this week
- FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA.☆277Updated this week
- Building blocks for foundation models.☆617Jan 3, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Experimental plugin for scikit-learn to be able to run (some estimators) on Intel GPUs via numba-dpex.☆17Feb 28, 2024Updated 2 years ago
- Rigorous Proofs via Adversarial AI Agents☆137Jan 19, 2026Updated 3 months ago
- 📚 A curated list of awesome matrix-matrix multiplication (A * B = C) frameworks, libraries and software☆64Feb 23, 2025Updated last year
- ☆21Jun 6, 2024Updated last year
- Synthesizer for optimal collective communication algorithms☆123Apr 8, 2024Updated 2 years ago
- Benchmark computing Black Scholes formula using different technologies☆14Jun 5, 2025Updated 11 months ago
- Accelerating Long Context LLM Inference with Accuracy-Preserving Context Optimization in SGLang, vLLM, llama.cpp, OpenClaw, RAG, and Agen…☆82Updated this week