#warp scheduling

26 related articles

Aug 25, 2026·3 min

Custom GPU Kernels Speed Up AlphaFold Protein Model by 6.8x

Open-source GPU kernel library fast_trimul optimizes triangle multiplicative update operations in AlphaFold3 family models, achieving 4.5-6.8x speedup with 2.2-2.4x memory reduction for short sequences.

Aug 21, 2026·2 min

CPU Simulation vs GPU Simulation: The Compute Architecture Debate Sparked by UniLabSim

Is GPU parallel simulation the only choice for robot reinforcement learning? UniLabSim argues CPU simulation remains competitive. We analyze the hidden costs of GPU simulation, CPU flexibility advantages, and the tech and business logic behind this compute debate.

Aug 16, 2026·2 min

Building a Contract-Grade Verifier for AI-Generated GPU Kernels: Solving the LLM Code Trust Problem

Explore how contract-grade verifiers validate LLM-generated GPU kernel correctness, addressing trust issues like race conditions and out-of-bounds access in AI code generation.

Aug 10, 2026·3 min

Fixed Random Seed But GPU Results Still Not Reproducible? Deep Dive into Causes and Solutions

Fixed the random seed but GPU training results still differ? This article explains floating-point non-associativity, non-deterministic CUDA ops, and provides a complete PyTorch deterministic training configuration guide.

Aug 9, 2026·3 min

Basalt: An Open-Source Minecraft Launcher That Balances Beauty and Functionality

Basalt is an open-source Minecraft launcher built with Rust and Tauri, featuring artwork-led design, multi-instance management, CurseForge/Modrinth support, smart crash diagnostics, and zero telemetry.

Aug 8, 2026·3 min

Software Optimization Makes a Single B200 Rival Dedicated Inference Chips

Analysis of how a single NVIDIA B200 GPU surpasses Groq LPU and approaches Cerebras performance through software optimization alone, covering CUDA kernels, TensorRT-LLM, and FP8 quantization.

Aug 8, 2026·3 min

MiniMax H3 Turbo LoRA Hands-On: An Acceleration Solution That Generates Video in Just 10 Steps

Just 3 days after MiniMax H3's release, the community delivers a Turbo LoRA that generates quality video in only 10 sampling steps, supporting both I2V and FLF2V modes.

Aug 7, 2026·3 min

GPU Utilization at 100% Doesn't Mean Full Load: How to Truly Diagnose Training Bottlenecks

nvidia-smi showing 100% GPU utilization doesn't mean optimal training efficiency. Learn about DCGM, PyTorch Profiler, and MFU metrics for diagnosing real GPU training bottlenecks.

Jul 30, 2026·3 min

GPT-5.6 Autonomously Optimizes Its Own Kernels: How AI Recursive Self-Improvement Could Cut Service Costs by 20%

OpenAI's internal model GPT-5.6 reportedly autonomously rewrites production kernels, achieving ~20% service cost reduction. Deep analysis of this AI recursive self-optimization event's technical plausibility and industry impact.

Jul 30, 2026·3 min

GPT-5.6 Autonomously Optimizes Its Own Kernels: How AI Recursive Self-Improvement Could Cut Service Costs by 20%

OpenAI's internal model GPT-5.6 reportedly autonomously rewrote production compute kernels, achieving ~20% cost reduction. Deep analysis of this AI recursive self-optimization event's technical plausibility, industry impact, and key questions.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Explore its technical principles, performance gains, and value for long-context training and inference.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Learn about its technical principles, performance gains, and value for long-context training and inference acceleration.

Jul 23, 2026·7 min

Alibaba Open-Sources 2.4T Qwen Model as Chinese AI Sweeps the Global Competitive Landscape

Alibaba open-sources a 2.4 trillion parameter Qwen model and launches the Qwen Token Plan. Chinese models surge, Kimi K3 tops global rankings, and China's AI is reshaping the global competitive landscape.

Jul 20, 2026·2 min

Deterministic Attention Transformer: H100 Benchmark Achieves Just 0.63 Joules Per Token

Researchers propose the Deterministic Attention-Transformer, measuring just 0.63 J/token on NVIDIA H100 GPUs. Explore the tech behind it and its green AI implications.

CUDA Kernel Fusion: A Practical Guide …

Jul 15, 2026·2 min

CUDA Kernel Fusion: A Practical Guide to Reducing Memory Bandwidth and Launch Overhead

Learn how CUDA Kernel Fusion merges multiple GPU kernels to reduce global memory traffic and launch overhead, with real-world examples from AI inference and deep learning.

Jul 13, 2026·4 min

6 Months of Self-Taught Machine Learning: A Complete Roadmap from Zero to Job-Ready

A self-learner completed a full progression from math foundations and core ML to deep learning in 6 months—hand-writing a Transformer and implementing gradient boosting from scratch. This article breaks down the highlights and blind spots of this real roadmap.

Jul 12, 2026·6 min

DeepSeek Builds Its Own AI Chips: The Strategic Logic and Challenges Behind Compute Independence

DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.

Jul 11, 2026·2 min

AI Agents for SGLang Kernel Optimization: Real-World Performance Gains and Engineering Methodology

SGLang's team converted expert knowledge into agent skills, achieving 71.4% throughput gains, TTFT reduced from 456ms to 168ms. A deep dive into agent-assisted kernel optimization methodology.

Jul 11, 2026·3 min

ComfyUI-INT4-Fast: Running Flux Models Smoothly on 6GB GPUs

ComfyUI-INT4-Fast brings W4A4 quantized inference to ComfyUI. RTX 3060 (6GB VRAM) generates 1024×1024 images in 17s. Per-layer mixed-precision routing balances speed and quality for Flux models.

Jul 8, 2026·6 min

Deep Dive into GPT-5.6 Ultra's Sub-Agent Architecture and Ten Key AI Industry Trends

In-depth analysis of GPT-5.6 Ultra's sub-agent collaborative reasoning, the global rise of Chinese AI models, world-model evaluation gaps, and AI's real-world deployment challenges and bubble warnings.