A framework for in context learning for code optimization
☆59Mar 14, 2026Updated 5 months ago
Alternatives and similar repositories for KernelBlaster
Users that are interested in KernelBlaster are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels☆51Jun 1, 2026Updated 2 months ago
- A benchmark of real-world DL kernel problems☆288Jul 15, 2026Updated last month
- Review automated kernel generation in the era of LLMs☆304Jun 25, 2026Updated 2 months ago
- GPU Functional Descriptor for memory access☆34May 24, 2026Updated 3 months ago
- An interior point solver for mixed complementarity problems, supporting CPU/GPU batched-parallel execution.☆20Aug 4, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- High-performance GPU kernels for LLM inference in OpenAI Triton. Fused RMSNorm, SwiGLU, INT8 GEMM with benchmarks and roofline analysis.☆42Jul 22, 2026Updated last month
- Speed of Light Analysis for ML Model Runtime☆114Aug 22, 2026Updated last week
- Building the Virtuous Cycle for AI-driven LLM Systems☆277May 1, 2026Updated 3 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆1,221Mar 24, 2026Updated 5 months ago
- Open-source transpiler for CUDA Tile (13.1) migration☆19Dec 9, 2025Updated 8 months ago
- GPT2 Inference Implementation in Pure C☆32Jun 23, 2025Updated last year
- Memory-bounded compressed sparse attention via streaming top-k. Triton kernels for the DeepSeek-V4 lightning indexer. 32x regime extensio…☆25May 5, 2026Updated 3 months ago
- PTX ISA 9.1 documentation converted to searchable markdown. Includes Claude Code skill for CUDA development.☆228Dec 24, 2025Updated 8 months ago
- Memory Topology for GPUs☆19Aug 23, 2026Updated last week
- 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.
- ☆28Jan 28, 2025Updated last year
- An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch…☆135Jun 29, 2026Updated 2 months ago
- Pure Triton kernels for Qwen3.5-27B inference on NVIDIA B200☆121Feb 28, 2026Updated 6 months ago
- Autocomp: Optimize any AI kernel, anywhere.☆147Jul 11, 2026Updated last month
- Skills for writing tilelang and debugging with CUDA toolkits.☆137May 20, 2026Updated 3 months ago
- FlashInfer Bench @ MLSys 2026: Building AI agents to write high performance GPU kernels☆182Apr 26, 2026Updated 4 months ago
- A Triton-only attention backend for vLLM☆28Jul 14, 2026Updated last month
- Autonomous GPU Kernel Generation & Optimization via Deep Agents