H

high-performance computing

PYthon Radio Astronomy anaLYSis and Image Synthesis

An application that requires significant computation to be resilient is an essential feature, and dealing with faults is critical to running an application in some high-performance computing environments. The Dependability Library for Iterative Applications (DeLIA) proposed was designed to be applications that use high-performance techniques and have synchronization moments.

Archive for all my labs at the "Principles of Performance Oriented Coding" course at Babes-Bolyai University.

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

NeuroML-based neural simulator

SuperConga: Superconductivity simulation framework on GPU.

Standard Template Adaptive Parallel Library: https://parasollab.web.illinois.edu/research/stapl/

XStore is a high-performance key-value store for time-series

Python API and CLI for remote submission and monitoring of Python applications on HPC.

Service Discovery and Load Balancer implementation in Rust. Features include service registration, health checks, and load balancing with Prometheus metrics integration. Designed for high-performance microservices architecture.

Github repository of VerHem project source tree. A tensor-valued (up to 18 components) solving, post-processing and visualization parallel suite for 3D GL equations and complex geometries with adaptive mesh.

An application that requires significant computation to be resilient is an essential feature, and dealing with faults is critical to running an application in some high-performance computing environments. The Dependability Library for Iterative Applications (DeLIA) proposed was designed to be applications that use high-performance techniques and have synchronization moments.

A NAStJA Application