1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
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1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
Quantifying the pulse of parallelism: A C++ concurrency telemetry framework measuring the human-perceived efficiency of concurrent execution strategies.
XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro
Benchmark comparing serialization libraries on the JVM
Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
Easy benchmarking of all publicly accessible implementations of convnets
VPS Fusion Monster — Server Benchmark (Go Edition) Aims to be the most comprehensive and fastest server benchmarking project, built in Go with zero external dependencies. VPS 融合怪服务器测评项目 · Go 版本 致力于成为最全面和最快速的服务器测评项目,使用 Go 语言实现,零环境依赖零广告
Headless Chromium-based web performance metrics collector and monitoring tool
Hash function quality and speed tests
Performance Optimizer Observation Platform
An objective comparison of multiple frameworks that allow us to "transform" our web apps to desktop applications.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Performance monitoring and benchmarking suite
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
benchmarks for implementation of servers which support 1 million connections
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Provides iteration per second benchmarking for Ruby
Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
Benchmarks of Go serialization methods
Cinebench 2026 Standalone Desktop Setup with Pre-Activated Features
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Performance benchmarking and testing framework for .NET applications :chart_with_upwards_trend:
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.