4 papers
Analysis and Optimized CXL-Attached Memory Allocation for Long-Context LLM Fine-Tuning
Yong-Cheng Liaw, Shuo-Han Chen
The substantial memory requirements of Large Language Models (LLMs), particularly for long-context fine-tuning, have renewed interest in CPU offloading to augment limited GPU memor…
MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
Yong-Cheng Liaw, Shuo-Han Chen
Owing to the huge success of generative artificial intelligence (AI), large language models (LLMs) have emerged as a core subclass, underpinning applications such as question answe…
: A Racetrack Register File with Runtime Software Reconfiguration
Christian Hakert, Shuo-Han Chen, Kay Heider +4
Arising disruptive memory technologies continuously make their way into the memory hierarchy at various levels. Racetrack memory is one promising candidate for future memory due to…
Sky-Tree: Embracing the Batch Updates of B-trees through Access Port Parallelism on Skyrmion Racetrack Memory
Yu-Shiang Tsai, Shuo-Han Chen, Martijn Noorlander +1
Owing to the characteristics of high density and unlimited write cycles, skyrmion racetrack memory (SK-RM) has demonstrated great potential as either the next-generation main memor…