activity
20192026
most citedTomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks

151 citations · 219 across the 24 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.DC2026

LLM Agents as Resilience Engineers for Scientific Applications

Hai Duc Nguyen, Tekin Bicer, Kyle Chard +2

Efficient checkpoint/restart support is essential for resilient HPC scientific applications, but implementing it requires substantial expertise: developers must identify recoverabl…

cs.SE2026

Strategies for Deploying AI Agents in Production at Scientific User Facilities

Ming Du, Xiangyu Yin, Michael Prince +40

Agentic artificial intelligence (AI) is moving beyond research demonstrations toward production use at scientific user facilities, including light sources, neutron sources, nanosci…

cs.DC2026

Towards Transparent Checkpointing with AI-driven Code Generation

Hai Duc Nguyen, Tekin Bicer, Kyle Chard +2

Adding reliable checkpoint/restart support to an MPI scientific application is a time-consuming expert effort that requires deep knowledge of both the application and resilience. W…

cs.DC2026

StreamGuard: Low-Overhead Resilience for Real-time HPC Data Streams

Hai Duc Nguyen, Bogdan Nicolae, Tekin Bicer +4

Real-time scientific workflows operate on continuous data streams and must produce timely, high-quality results despite executing on complex, failure-prone infrastructure. Hardware…

cs.AI2026

Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies

Atkia Mahila, Avinash Maurya, M. Mustafa Rafique +1

Tree of Thought (ToT) search has become a promising direction for improving the reasoning capabilities of large language models, but deploying these methods in practice raises a qu…

cs.DC2026

CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism

Bin Ma, Xingjian Ding, Tekin Bicer +2

Diffusion Transformers (DiTs) are increasingly adopted in scientific computing, yet growing model sizes and resolutions make distributed multi-GPU inference essential. Ulysses sequ…