maxsim-cpu: Maximising Maxsim Efficiency
mixedbread.com·1d·
Discuss: Hacker News
🌊Streaming Algorithms
Building High-Performance GraphQL Servers in Golang with Optimized Resolver Patterns
dev.to·1d·
Discuss: DEV
🌊Stream Processing
New Benchmark suite for analytical DBs using real-world SQL queries
github.com·6h·
Discuss: Hacker News
📝Database WAL
Computer Architecture: A quantitative approach
ikerexxe.github.io·1d
🖥️Hardware Architecture
When More Cores Means Less Speed: Debugging PyTorch with Valgrind on ARM
blog.cloudkernels.net·1d·
Discuss: Hacker News
⚡Performance Tools
Show HN: Timep – a next-gen profiler and flamegraph-generator for bash code
github.com·17h·
Discuss: Hacker News
⚡Performance Tools
Billions of Edges per Second with Postgres
onesparse.com·5h·
Discuss: Hacker News
🗜️Graph Compression
[$] SFrame-based stack unwinding for the kernel
lwn.net·4d
🔩Systems Programming
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.com·1h·
Discuss: Hacker News
⚙️Compression Benchmarking
Help Request: Best way to run many chrome profiles in parallel
reddit.com·1d·
Discuss: r/homelab
🔄Sync Engine
Database Health Check: Understanding and Tuning Core Server Resources
hackernoon.com·1d
🗄️Database Internals
Warm Starts Accelerate Generative Modelling
arxiv.org·20h
🧠Machine Learning
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.io·8h·
Discuss: Hacker News
📝Log Parsing
Cache Benchmarks
github.com·4d·
Discuss: Hacker News
⚡Performance Tools
Developing with Kiro: Amazon's New Agentic IDE
yehudacohen.substack.com·1d·
Discuss: Substack
❄️Nix Adoption
Unsupervised Learning NO. 489
newsletter.danielmiessler.com·1d
🗜️LZW Variants
Google Wifi Pro: Glitching from Root to EL3: Part 1 - Characterization
raelize.com·8m·
Discuss: Lobsters, Hacker News
🛡️eBPF Security
Accelerate generative AI inference with NVIDIA Dynamo and Amazon EKS
aws.amazon.com·10h
🌊Streaming Systems
Forensic journey: Breaking down the UserAssist artifact structure
securelist.com·1d
🔍NTLM Archaeology
How Amazon Bedrock CMI Cut AI Model Onboarding Time by 75%
engineering.salesforce.com·4h
🔄Sync Engine