High Performance

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When More Cores Hurts: The Vector Database Scaling Paradox in HPC

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

GPU Servers for Best Performance

 🛡️Fault Tolerance
leaseweb.com··DEV

(PR) NextSilicon to Productize Arbel RISC-V Core Into 64-Core Enterprise Processor for AI and HPC

 🎮GPU Scheduling
techpowerup.com·

How Airbus’ supercomputers are driving the future of design

 🎮GPU Scheduling  Content type: News

Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026

 🎮GPU Scheduling
semiengineering.com·

HydraMPP: A lightweight library for distributed massive parallel processing in Python - threading at scale.

 🎮GPU Scheduling  Content type: Academic
biorxiv.org·

MLPerf and the rise of latency-aware LLM benchmarking

 🎮GPU Scheduling
edn.com·

New comment by maddie1SP in "Ask HN: Who is hiring? (June 2026)"

 Solana  Content type: Discussion

Today Marks 22 Years Of Phoronix For Linux Hardware Testing & Benchmarking

 ⚙️Kernel Dev
phoronix.com·

From the microscope to High Performance Computing centers, a national effort toward automated data workflows for microscopy facility users in France

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

[eCHO News] Episode #109: eBPF Securing HPC Systems. Cilium Kids Book

 🔬eBPF

ZutaCore Raises $100M Series C to Scale Waterless Two-Phase Cooling for AI Data Centers

 🎮GPU Scheduling
storagereview.com·

Twelve quick tips for designing AI-driven HPC workflows

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

MiTAC Shows Liquid and Air Cooled Servers, Debuts 96-GPU AMD Instinct MI355X Rack at Computex 2026

 🔌PCIe
techpowerup.com·

Unifying von-Neumann HPC and Neuromorphic Acceleration via the EBRAINS Research Infrastructure: A Framework for High-Performance Workflows

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

Structuring agentic AI for HPC code modernization

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

Concepts in Practice: C++ MPI Bindings for the HPC Ecosystem. From a Standardizable Core to a Composable Interface

 🎮GPU Scheduling  Content type: Academic
arxiv.org·

LLM-Based Porting of Optimized C++ to CUDA Through Deoptimization and Reoptimization

 ↩️Deoptimization  Content type: Academic
arxiv.org·

Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems

 🛡️Fault Tolerance  Content type: Academic
arxiv.org·

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

 🎮GPU Scheduling  Content type: Academic
arxiv.org··Hacker News

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