Let's Code an Incremental Source Generator with Roslyn
Explore Roslyn-based metaprogramming through live coding of an incremental source generator, unveiling its intricacies, benefits, and quality assessment techniques.
Let's Code an Incremental Source Generator with Roslyn
Explore incremental source generation with Roslyn in this live coding session. Learn to implement, test, and optimize generators for improved compile-time efficiency and runtime performance.
The Performance Loop - A Practical Guide to Profiling and Benchmarking
Practical guide to optimizing code performance through profiling, benchmarking, and iterative improvement. Learn to identify, isolate, measure, and enhance critical areas for maximum impact.
Continuous Regression Testing for Safer and Faster Refactoring in C++
Learn continuous regression testing techniques for safer, faster C++ refactoring. Discover how to build frameworks, write effective tests, and integrate with CI pipelines for automated execution.
C++20's Likely Attribute - Optimizations, Pessimizations, and Unlikely Consequences
Explore C++20's [[likely]] attribute, its impact on optimizations, and potential consequences. Gain insights into branch prediction, performance tuning, and effective benchmarking techniques.
Comparing Open Source AI Agents to Perplexity AI - Testing Codestral, GPT4o, and Mixtral
Benchmark open-source AI models against Perplexity AI using a custom web search agent. Compare Codestral, Mixtral, and GPT4o performance in handling complex queries and multi-hop questions.
Comparing LLAMA 3, Phi 3, and GPT-3.5 Turbo AI Agents for Web Search Performance
Benchmark open-source AI models against Perplexity AI in web search performance. Compare Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium using a custom web search agent.
Unlocking Modern CPU Power - Next-Gen C++ Optimization Techniques
Explore cutting-edge C++ optimization techniques for modern CPUs, covering architecture changes, benchmarking challenges, and practical strategies to enhance code performance on latest processors.
Make React Faster with Million.js
Explore Million.js with Chance Strickland to optimize React performance without switching frameworks. Learn implementation techniques and performance testing for faster web applications.
AppWorld: Reliable Evaluation of Interactive Agents in a World of Apps and People
Explore AppWorld's innovative framework for evaluating AI agents' performance in everyday digital tasks across popular apps, highlighting challenges and future directions for reliable AI systems.
CPU Cache Effects and Their Impact on Software Performance
Explore CPU cache effects and memory optimization techniques through code examples and benchmarks, deriving key memory characteristics for improved software performance.
Java Optimization: Trade-offs, Bad Science, and Polar Bears - DevNation Tech Talk
Explore Java optimization principles, pitfalls, and real-world applications. Learn about performance measurement, garbage collection, and the impact of optimization on sustainability and climate change.
Revolutionizing Performance Testing in Drupal with Gander
Explore Gander, a revolutionary tool for automated performance testing in Drupal. Learn its benefits, implementation, and impact on Core development and your own projects.
Automatic Calibration and Benchmarking of IQM Quantum Processing Units
Explore automatic calibration and benchmarking of IQM quantum processing units, focusing on superconducting qubits, architecture, and methods for reliable device optimization.
Diablo: A Benchmark Suite for Evaluating Blockchain Performance
Explore Diablo, a comprehensive benchmarking framework for evaluating blockchain performance across various systems. Gain insights into scalability, experimental settings, and realistic DApp workloads.
Treating Prompt Engineering More Like Code - Promptimize and Test-Driven Development for AI
Explore scientific prompt evaluation with Promptimize. Learn about open-sourcing, test suites, and AI challenges. Gain insights on prompt optimization, deterministic evaluation, and the evolving landscape of AI prompt engineering.
Harnessing AI APIs for Safer, Accurate, and Reliable Applications
Explore strategies for integrating AI APIs to build safer, more accurate applications. Learn to mitigate risks, enhance performance, and improve quality in production settings for RAG and AI-assisted knowledge work.
Recipes for Reducing Allocations by C++ Containers - C++ on Sea 2022
Explore techniques to minimize allocations in C++ containers, including vector reservations, container choices, constructors, scope promotion, view types, and PMR allocators. Gain insights with benchmarks and diagnostics.
Breaking Enigma With the Power of Modern C++ - CppCon 2022
Explore modern C++ techniques to crack the Enigma code, comparing historical methods with contemporary computing power. Learn cryptography and parallel processing concepts.
Does My Kubernetes Application Need CPR? Performance Evaluation of a Multi-Cluster Workload Management System
Dive into performance evaluation techniques for KubeStellar, exploring scalability metrics, benchmarking methods, and essential tools for managing multi-cluster Kubernetes workloads effectively.
Which GPU Sharing Strategy Is Right for You? A Comprehensive Benchmark Study Using Dynamic Resource Allocation
Explore GPU sharing strategies in Kubernetes using Dynamic Resource Allocation (DRA), comparing Multi-Instance GPUs, MPS, and CUDA Time-Slicing for optimal workload performance.