Parallel Computing

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Scoured 452 posts in 28.6 ms

CUDA-Oxide 0.2 Brings Early Improvements To Pure Rust CUDA Kernels

 🎨LUT Compression
phoronix.com·

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

 🔒Type Safety  Content type: Academic
arxiv.org·

Latency-Aware, High-Throughput Homomorphic AES Evaluation with CKKS

 🔐Homomorphic Encryption
eprint.iacr.org·

NVIDIA Nsight Compute

 🎨LUT Compression
developer.nvidia.com·

jeffhuen/RustyCSV: High-performance CSV parsing for Elixir. Rust NIF with SIMD acceleration, parallel parsing, and bounded-memory streaming. Drop-in NimbleCSV replacement.

 SIMD Optimization  Content type: Code
github.com··Hacker News

Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput

 🔍Search Indexing  Content type: Blog
elastic.co·

Why my SIMD code was silently running as scalar, and what debugging it taught me about production environment assumptions

 🚀SIMD Parsing  Content type: Blog

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

 🎨LUT Compression
phoronix.com·

Multiversion Concurrency Control for Multiversion B-Trees

 🗄️Database Recovery  Content type: Academic
arxiv.org·

Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design

 SIMD Vectorization  Content type: Academic
arxiv.org·

SWIFT: Shallow and SIMD-Aware CKKS Functional Bootstrapping for Low-Latency

 🧮Compute Optimization
eprint.iacr.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🎨LUT Compression  Content type: Code
github.com··Hacker News

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

 🎨LUT Compression  Content type: Academic
arxiv.org·

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

 🗂️Vector Databases  Content type: Academic
arxiv.org·

Structuring agentic AI for HPC code modernization

 🔓Hacking  Content type: Academic
arxiv.org·

Twelve quick tips for designing AI-driven HPC workflows

 🎯Performance Proofs  Content type: Academic
arxiv.org·

APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

 🎨LUT Compression  Content type: Academic
arxiv.org·

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

 🎨LUT Compression  Content type: Academic
arxiv.org·

SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines

 🎨LUT Compression  Content type: Academic
arxiv.org·

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition

 SMT Integration  Content type: Academic
arxiv.org·

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