Analyzes a flawed LinkedIn benchmark on LINQ's 'let' keyword, explaining why the test doesn't measure real performance and how to benchmark correctly.
Explores performance improvements in .NET 9's LINQ methods, including OrderBy.ToList and Chunk, using benchmarks and SIMD optimizations.
A developer documents their journey tackling the 'Billion Row Challenge' in Fortran, optimizing performance from over 2 minutes to under 6 seconds.
A developer investigates why a Zig program runs 10x faster when using 'zig build run' versus executing the compiled binary directly.
A tutorial on evaluating Large Language Models using Hugging Face's Lighteval library on Amazon SageMaker, focusing on benchmarks like TruthfulQA.
A Java programming challenge to process one billion rows of temperature data, focusing on performance optimization and modern Java features.
A Java programming challenge to process one billion rows of temperature data, focusing on performance optimization and modern Java features.
Benchmarking Go database drivers for SQLite and PostgreSQL on insert-heavy workloads, showing performance differences between popular and alternative drivers.
Explores the performance impact and technical details of memory alignment for double arrays in .NET, including benchmarks.
Analyzing a 1990s benchmark comparing R, S, and C performance, and revisiting it on modern hardware to discuss speed improvements and limitations.
Compares performance of Python's map() function and list comprehensions through benchmarks, showing list comprehensions are often faster.
Explores the performance trade-offs of inlining Python functions vs. keeping code modular, showing a speed gain at the cost of readability.
Explores performance improvements in .NET 8 Preview 3, comparing benchmarks for string operations and other features against .NET 6 and 7.
Explores using SIMD instructions and Vector<T> to accelerate LINQ queries in C# for high-performance data processing.
A critical look at benchmarking in .NET, emphasizing the importance of context and real-world performance over isolated micro-optimizations.
Compares performance of C# collection types like List<T>, ReadOnlyCollection<T>, ImmutableArray<T>, and ImmutableList<T> in iteration benchmarks.
Explains Python dictionary comprehension, compares its performance with for loops and dict() function, and provides benchmark results.
Compares performance of dict() vs {} for creating dictionaries in Python, showing {} is significantly faster due to bytecode differences.
Debunks the myth that StringBuilder is always faster in C#, showing scenarios where simple concatenation or List<string> is better.
A guide to benchmarking Python code, comparing tools like timeit and Docker for objective performance measurement.
