Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /bassrehab/triton-kernels
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 25d agoLive · 25d ago

bassrehab/triton-kernels

High-performance GPU kernels for LLM inference in OpenAI Triton. Fused RMSNorm, SwiGLU, INT8 GEMM with benchmarks and roofline analysis.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 54%[Paper] Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices →
  • PossiblePossibly related (embedding) · 54%OpenAI and Broadcom unveil LLM-optimized inference chip →
  • PossiblePossibly related (embedding) · 51%Accelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUs →
  • PossiblePossibly related (embedding) · 49%Bringing PyTorch Monarch to AMD GPUs →

Covers

news[Paper] Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer DevicesnewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsAccelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUs

Covers (incoming)

newsBringing PyTorch Monarch to AMD GPUs

Related across the graph

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsAccelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUsnews[Paper] Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer DevicesnewsBringing PyTorch Monarch to AMD GPUs
Knowledge path·NOpenAI and Broadcom unveil LLM-optimized inference chip→NAccelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUs→N[Paper] Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices→Rbassrehab/triton-kernels

Topics

cudagpuinferencekernelsllmoptimizationpytorchquantizationroofline-analysistriton

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score31