S

SIMD

The NAStJA framework provides an easy way to enable massively parallel simulations for a wide range of multi-physics applications based on stencil algorithms.

Exploring the assembly language

Experimental implementations of mathematical functions focusing on HPC techniques

Low-latency C++20 HFT engine for cryptocurrency derivative markets.

High-performance cryptographic suite featuring massive parallel execution of Secp256k1, SHA-256, and RIPEMD-160 using NVIDIA CUDA (GPU) and AVX2 (CPU). Includes a standalone CashAddr library.

A high-performance CPU-based tool for searching compressed and uncompressed addresses, as well as puzzle-based private key and brainwallet searches. Commonly used in research projects such as Cyclone, Brainflayer, Keyhunt, BitCrack, Ecloop, Keyhunt CUDA, and BitCrack.For educational purposes

Reproducible C++ benchmark comparing Data-Oriented Design (DOD) and Object-Oriented Programming (OOP) approaches for rendering performance, including scalar, SSE, and AVX optimizations.

This is a generic c++ library with all kinds of functionality for use in my projects.

A NAStJA Application

Provide a good solution to the CFM 2020 Challenge the hard way (hand writing the optimizer, directly use the Linear Algebra routines, use the most out of the multicore hardware).