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20242026
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cs.DC2026

Latent Reasoning Guidance for Parallel Code Translation

Tomer Bitan, Erel Kaplan, Roee Bar-Yadin +5

Tackling complex coding tasks often requires autonomous agents and iterative repair pipelines. These increasingly rely on large amounts of test-time computation, often spending man…

cs.DC2026

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

Erel Kaplan, Tomer Bitan, Lian Ghrayeb +4

Parallel programming is central to HPC and AI, but producing code that is correct and fast remains challenging, especially for OpenMP GPU offload, where data movement and tuning do…

cs.DC2025

OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms

Arijit Bhattacharjee, Ali TehraniJamsaz, Le Chen +4

Recent advances in large language models (LLMs) have significantly accelerated progress in code translation, enabling more accurate and efficient transformation across programming…

cs.DC2025

FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access

Aditya Tanikanti, Benoit Côté, Yanfei Guo +9

We present the Federated Inference Resource Scheduling Toolkit (FIRST), a framework enabling Inference-as-a-Service across distributed High-Performance Computing (HPC) clusters. FI…

cs.DC2025

UniPar: A Unified LLM-Based Framework for Parallel and Accelerated Code Translation in HPC

Tomer Bitan, Tal Kadosh, Erel Kaplan +5

Translating programs between various parallel programming languages is an important problem in the high-performance computing (HPC) community. Existing tools for this problem are e…

cs.DC2024

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen +3

Recent advancements in Large Language Models (LLMs) have renewed interest in automatic programming language translation. Encoder-decoder transformer models, in particular, have sho…