3 papers
cs.DC2026
Modality Inflation: Energy Characterization and Optimization Opportunities for MLLM Inference
Mona Moghadampanah, Adib Rezaei Shahmirzadi, Farhana Amin +1
Multimodal large language models (MLLMs) are built on text-only LLMs by incorporating additional modalities, enabling multimodal understanding and a broader range of applications.…
cs.LG2025
DiffPro: Joint Timestep and Layer-Wise Precision Optimization for Efficient Diffusion Inference
Farhana Amin, Sabiha Afroz, Kanchon Gharami +2
Diffusion models produce high quality images but inference is costly due to many denoising steps and heavy matrix operations. We present DiffPro, a post-training, hardware-faithful…
cs.DC2025
MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing
Asif Rahman, Veljko Cvetkovic, Kathleen Reece +7
Large language models (LLMs) have transformed software development through code generation capabilities, yet their effectiveness for high-performance computing (HPC) remains limite…