🖥️ GPU Computing - surajkadapa · Scour

VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU ⚡Hardware Acceleration

mira-reasoning-retrieval 🔍Semantic Search

wanggz.github.io·15h

NoC Coherency Challenges Balloon With AI SoCs And Chiplets 🔁Cache Coherence

semiengineering.com·5d

New server-focused SPEC CPU 2026 benchmarking suite has results for a Raspberry Pi 5 — updated tools feature more tests and can run a wide range of systems ⚡Hardware Acceleration

tomshardware.com

·22h

SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters ⚡Hardware Acceleration

Performance Predictability in Heterogeneous Memory 🔁Cache Coherence

danglingpointers.substack.com·18h·Substack

Fourth Data Prefetching Championship: Part 2 ⏭️Prefetch Intrinsics

sigarch.org·6d

When benchmarks go bad - what I learned from measuring performance wrong ⚡Performance Engineering

hollycummins.com·2d

mem-doc/doc/.NETMemoryPerformanceAnalysis.md at master 🐹Go Runtime

github.com·7h·Hacker News

SURGE: SuperBatch Unified Resource-efficient GPU Encoding for Heterogeneous Partitioned Data 📐Data-Oriented Design

A parallel algorithm for the computation of the Jones polynomial 📐Algorithms

How To Process Unstructured Documents and Images in Real Time With Event-Driven Streaming Pipelines 🗄️Database Internals

confluent.io·10h

MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis ⚡Hardware Acceleration

Locality of Reference 💾Cache Optimization

en.wikipedia.org·7h·Hacker News

Ω-Theory: Machine-Verified Algebraic Framework (formal paper, 2026-05-04) 🎯Speculative Execution

ramzesx.github.io·1d·Hacker News

Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference 📦CPU Caches

Journal of Functional Programming 📐Algorithms

people.cs.nott.ac.uk·20h·r/functionalprogramming

Category Theory for Tiny ML in Rust 📐Algorithms

hghalebi.github.io·1d·Hacker News

Code • Conflict-free Replicated Data Types 🌐Distributed Systems

Efficient Training on Multiple Consumer GPUs with RoundPipe ⚡Vectorized Execution

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