Make your games and apps run on the right CPU cores - for smoother performance on AMD Dual-CCD and Intel Hybrid processors.
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Updated
Jan 29, 2026 - C#
Make your games and apps run on the right CPU cores - for smoother performance on AMD Dual-CCD and Intel Hybrid processors.
High-accuracy SIMD sin/cos/sincos library in C with AVX2, AVX-512, and NEON support. Full-range reduction. Fast at scale. Portable by design.
Boost Valheim's FPS to forge a smoother Viking journey!
port MaxRAMPercentage to Golang, adjust GC parameters(SetGCPercent/SetMemoryLimit) based on the target memory usage percentage, optimize the GC overhead of Go runtime.
Zero-dependency Zig library that automatically routes spatial queries (frustum culling, overlaps, etc.) to CPU or GPU based on query volume vs world volume ratio — no manual tuning required.
High-performance On-Device MoA (Mixture of Agents) Engine in C++. Optimized for CPU inference with RadixCache & PagedAttention. (Tiny-MoA Native)
**Arc-Rides MAX FPS Booster** is an advanced Windows performance optimization tool designed to increase FPS, reduce lag, and boost gaming performance on Windows 10 and 11. This FPS booster optimizes system settings, disables unnecessary background processes, lowers latency, and maximizes PC speed for smooth, stable, high-performance gameplay.
Repository for the Computational Astrophysics course - 2023 - UniPD
N-Body simulations package for Python + CPU optimization final project. Developed during the Computational Astrophysics class at the University of Padova (October 2023 - February 2024)
High-performance C++20 neural network framework powered by Intel oneAPI MKL 2025.2. Optimized for CPU-based deep learning inference and training.
Automatically select the optimal implementation at program startup, ts and dl safe options are available.
A lightweight, high-performance LLM inference engine in C++ for edge AIPC, featuring graph-runtime separation and heterogeneous acceleration.
Python bindings for KortexDL - High-performance C++20 neural network framework with Intel MKL acceleration. Easy-to-use Python API with NumPy compatibility.
Benchmarking 8 State-of-the-Art LLMs on commodity CPUs ($0.04/hr). Identified Qwen 2.5 (3B) as the Pareto-optimal solution for edge inference, outperforming DeepSeek R1 and Llama 2 in efficiency-accuracy trade-offs.
Genshin Impact-inspired Windows system optimizer | Smart P/E core scheduling + Memory management + VRAM cleaning | Make your CPU as smart as Paimon!
🤖 Enhance task management with Tiny MoA, a GPU-free multi-agent system that plans, reasons, and collaborates efficiently in real time.
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