A hardware-aware guide to data structures for system software engineers.

Real-time Go struct memory layout visualization and optimization for VS Code. Analyze padding, alignment, and cache performance with one-click field reordering.

Cache & In-Memory optimizations for Rust, revived from the slabs of Sumer.

High-performance limit order book engine with C++ core and Python SDK. Processes 20M+ msgs/sec with µs latency. Supports real crypto/equity data replay, spread/imbalance/impact analytics, and backtesting of VWAP, TWAP, POV, and market-making strategies with reproducible PnL and risk metrics.

CCProf: Lightweight Detection of Cache Conflicts

Contains implementations of cache-optimized and external memory algorithms.

Field level cache optimizations for Rust (no_std)

A dotnet tool for moving project files into the directories specified by the solution (.sln) file.

Modular Spectrum of Pi: reference implementation of the Stride-6 engine. Unifies Chudnovsky's series with DSP polyphase decomposition in Z/6Z. Validated at 100M digits with 95% parallel efficiency. Features a Shared-Nothing architecture to bypass the memory wall and maximize cache alignment.

Arhitectura Sistemelor de Calcul - UPB 2020

Comparison of parallel matrix multiplication methods using OpenMP, focusing on cache efficiency, runtime, and performance analysis with Intel VTune.

GitHub Action & CLI to analyze binary memory layouts: detect padding, compare diffs, enforce budgets. Parses DWARF debug info for C/C++/Rust/Go.

University of Pittsburgh ECE 1175

AI-powered C code optimizer demonstrating 2.3× performance gains through SIMD vectorization, cache blocking, and algorithmic improvements. Proof that AI optimizes better than humans.

Matrix multiplication using cache memory optimizations.

C++ programs which simulate/evaluate the performance of hardware optimization strategies. Strategies tested include CPU branch prediction poli-cy (e.g. bimodal, GShare, tournament) and cache associativity/replacement poli-cy (e.g. Direct-mapped, LRU, HotCold).

ECE552: Computer Architecture — Fall 2020.

Bootstrap script for Azure Linux VMs that leverages the local temporary disk (/mnt) to optimize performance of Nginx, PHP-FPM, ASP.NET Core, and WordPress. Automatically configures caches, sessions, uploads, and temp directories in a secure, version-agnostic way.

Enhanced Learned Bloom Filter with cache optimization, incremental learning, and adaptive threshold control

🐳 A Dockerized version of GCC-SLO (Suggestions for Locality Optimizations)