A quantitative approach for adopting disaggregated memory in hpc systems

J Wahlgren, G Schieffer, M Gokhale… - Proceedings of the …, 2023 - dl.acm.org
Memory disaggregation has recently been adopted in data centers to improve resource
utilization, motivated by cost and sustainability. Recent studies on large-scale HPC facilities …

Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link

D Xu, Y Feng, K Shin, D Kim, H Jeon… - … Conference for High …, 2024 - ieeexplore.ieee.org
The deep learning models (DL) are becoming bigger, easily beyond the memory capacity of
a single accelerator. The recent progress in large DL training utilizes CPU memory as an …

Instruction-Aware Cooperative TLB and Cache Replacement Policies

D Chasapis, G Vavouliotis, DA Jiménez… - Proceedings of the 30th …, 2025 - dl.acm.org
Modern server and data center applications are characterized not only by big datasets, but
also by large instruction footprints that incur frequent cache and Translation Lookaside …

[LIBRO][B] Data-driven Performance Optimization for Data-intensive Applications

J Liu - 2024 - search.proquest.com
Data-intensive applications have attracted considerable attention from researchers in
information sciences and enterprises, as these applications have made evolutionary …

[PDF][PDF] The Role of Green Tea (Camellia sinensis) in the Management of Androgenetic Alopecia (AGA): A Review

F Akbarnejad - 2023 - allmultidisciplinaryjournal.com
Alopecia is a condition that impacts over 50% of the global population. The Food and Drug
Administration (FDA) only approved topical minoxidil and oral finasteride for prevention of …