Maxim Moraru
10 papers 16 citations h-index 2 2022–2026
LLM Benchmarking with LLaMA2: Evaluating Code Development Performance Across Multiple Programming Languages
The rapid evolution of large language models (LLMs) has opened new possibilities for automating various tasks in software development. This paper evaluates the capabilities of the Llama 2-70B...
From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow
Scientific applications continue to rely on legacy Fortran codebases originally developed for homogeneous, CPU-based systems. As High-Performance Computing (HPC) shifts toward heterogeneous...
Scalable, High-Fidelity Monitoring of Application Communication Patterns in Vernier
LAAFD: LLM-based Agents for Accelerated FPGA Design
FPGAs offer high performance, low latency, and energy efficiency for accelerated computing, yet adoption in scientific and edge settings is limited by the specialized hardware expertise required....
exa-PD: A scalable high-performance workflow for multi-element phase diagram construction
Exa-PD is a highly parallelizable workflow designed for the construction of multi-element phase diagrams (PDs). It uses standard sampling techniques, molecular dynamics (MD) and Monte Carlo (MC)...
Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation
RISC-V ISA-based processors have recently emerged as both powerful and energy-efficient computing platforms. The release of the MILK-V Pioneer marked a significant milestone as the first...
exa-AMD: A Scalable Workflow for Accelerating AI-Assisted Materials Discovery and Design
exa-AMD is a Python-based application designed to accelerate the discovery and design of functional materials by integrating AI/ML tools, materials databases, and quantum mechanical calculations...