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Home/Authors/Bogdan Nicolae

Bogdan Nicolae

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Distributed×3AI×1ML×1

Frequent co-authors

Hai Duc Nguyen2×
Tekin Bicer2×
Kyle Chard2×
Ian Foster2×
Amal Gueroudji1×
Matthieu Dorier1×

Research Timeline

2026
Recency/Frequency Adaptive KV Caching for Large Language Model Serving

The paper proposes adaptive caching for key-value (KV) caching in large language models, improving cache hit rate and reducing time to first token.

Towards Transparent Checkpointing with AI-driven Code Generation

Researchers used a large language model to generate checkpoint/restart code for MPI applications, achieving comparable efficiency to human-engineered solutions.

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

This paper presents two techniques, dynamic checkpointing and progress-aware load redistribution, to maintain forward progress and balanced execution in real-time scientific workflows using the producer-consumer streaming pattern.

Highlighted terms show continued research focus across papers

Papers

cs.DCEmpiricalRecentJun 29, 2026

Towards Transparent Checkpointing with AI-driven Code Generation

Hai Duc Nguyen, Tekin Bicer, Kyle Chard, Ian Foster +1 more

Researchers used a large language model to generate checkpoint/restart code for MPI applications, achieving comparable efficiency to human-engineered solutions.

View →
cs.DCEmpiricalRecent
Jun 29, 2026

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

Hai Duc Nguyen, Bogdan Nicolae, Tekin Bicer, Amal Gueroudji +3 more

This paper presents two techniques, dynamic checkpointing and progress-aware load redistribution, to maintain forward progress and balanced execution in real-time scientific workflows using the produc…

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cs.DCcs.AIcs.LGEmpiricalRecentJun 19, 2026

Recency/Frequency Adaptive KV Caching for Large Language Model Serving

Yang Shen, Meghana Madhyastha, Robert Underwood, Bogdan Nicolae +1 more

The paper proposes adaptive caching for key-value (KV) caching in large language models, improving cache hit rate and reducing time to first token.

View →