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Extract-Transform-Load (ETL) handles large amount of data and manages workload through dataflows. ETL dataflows are widely regarded as complex and expensive operations in terms of time and system resources. In order to minimize the time and…

Databases · Computer Science 2014-09-08 Xiufeng Liu

Many high end and next generation computing systems to incorporated alternative memory technologies to meet performance goals. Since these technologies present distinct advantages and tradeoffs compared to conventional DDR* SDRAM, such as…

Performance · Computer Science 2021-10-06 M. Ben Olson , Brandon Kammerdiener , Kshitij A. Doshi , Terry Jones , Michael R. Jantz

Retrieval-Augmented Generation (RAG) systems enhance the performance of large language models (LLMs) by incorporating supplementary retrieved documents, enabling more accurate and context-aware responses. However, integrating these external…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-25 Wenfeng Wang , Xiaofeng Hou , Peng Tang , Hengyi Zhou , Jing Wang , Xinkai Wang , Chao Li , Minyi Guo

The processing, computation and memory requirements posed by emerging mobile broadband services require adaptive memory management and prefetching techniques at the mobile terminals for satisfactory application performance and sustained…

Networking and Internet Architecture · Computer Science 2009-12-31 Aditya Dua , Dimitrios Tsamis , Nicholas Bambos , Jatinder Pal Singh

The storage manager, as a key component of the database system, is responsible for organizing, reading, and delivering data to the execution engine for processing. According to the data serving mechanism, existing storage managers are…

Databases · Computer Science 2019-05-20 Ye Zhu

The expansion of context windows in large language models (LLMs) to multi-million tokens introduces severe memory and compute bottlenecks, particularly in managing the growing Key-Value (KV) cache. While Compute Express Link (CXL) enables…

As the models and the datasets to train deep learning (DL) models scale, system architects are faced with new challenges, one of which is the memory capacity bottleneck, where the limited physical memory inside the accelerator device…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-19 Youngeun Kwon , Minsoo Rhu

To effectively control large-scale distributed systems online, model predictive control (MPC) has to swiftly solve the underlying high-dimensional optimization. There are multiple techniques applied to accelerate the solving process in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-30 Carmen Amo Alonso , Shih-Hao Tseng

Prior work has observed that fetch-directed prefetching (FDIP) is highly effective at covering instruction cache misses. The key to FDIP's effectiveness is having a sufficiently large BTB to accommodate the application's branch working set.…

Hardware Architecture · Computer Science 2020-06-25 Truls Asheim , Rakesh Kumar , Boris Grot

Compute Express Link (CXL) is a promising technology that addresses memory and storage challenges. Despite its advantages, CXL faces performance threats from external interference when co-existing with current memory and storage systems.…

Hardware Architecture · Computer Science 2024-11-28 Shunyu Mao , Jiajun Luo , Yixin Li , Jiapeng Zhou , Weidong Zhang , Zheng Liu , Teng Ma , Shuwen Deng

In modern server CPUs, the Last-Level Cache (LLC) serves not only as a victim cache for higher-level private caches but also as a buffer for low-latency DMA transfers between CPU cores and I/O devices through Direct Cache Access (DCA).…

Hardware Architecture · Computer Science 2025-06-16 Haneul Park , Jiaqi Lou , Sangjin Lee , Yifan Yuan , Kyoung Soo Park , Yongseok Son , Ipoom Jeong , Nam Sung Kim

Large language models (LLMs) have excelled in various applications, yet serving them at scale is challenging due to their substantial resource demands and high latency. Our real-world studies reveal that over 70% of user requests to LLMs…

Machine Learning · Computer Science 2025-09-05 Yifan Yu , Yu Gan , Nikhil Sarda , Lillian Tsai , Jiaming Shen , Yanqi Zhou , Arvind Krishnamurthy , Fan Lai , Henry M. Levy , David Culler

LLM inference is constrained by GPU memory capacity and bandwidth. Tiered memory architectures mitigate this by allowing the GPU to offload memory to the remote tier. However, existing memory offloading frameworks rely on prefetching data…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-30 Shouxu Lin , Zhiyuan Guo , Jiaxin Lin

This work studies the behavior of state-of-the-art memory controller designs when executing scale-out workloads. It considers memory scheduling techniques, memory page management policies, the number of memory channels, and the address…

Hardware Architecture · Computer Science 2016-12-01 Mostafa Mahmoud , Andreas Moshovos

We propose a new decentralized coded caching scheme for a two-phase caching network, where the data placed in user caches in the prefetching phase are random portions of a maximal distance separable (MDS) coded version of the original…

Information Theory · Computer Science 2018-06-27 Yi-Peng Wei , Sennur Ulukus

The single-chip crosspoint-queued (CQ) switch is a compact switching architecture that has all its buffers placed at the crosspoints of input and output lines. Scheduling is also performed inside the switching core, and does not rely on…

Networking and Internet Architecture · Computer Science 2014-03-11 Zizhong Cao , Shivendra S. Panwar

Embedded system software is highly constrained from performance, memory footprint, energy consumption and implementing cost view point. It is always desirable to obtain better Instructions per Cycle. Instruction cache has major contribution…

Performance · Computer Science 2013-12-10 Rajendra Patel , Arvind Rajawat

Indexing is a well-known database technique used to facilitate data access and speed up query processing. Nevertheless, the construction and modification of indexes are very expensive. In traditional approaches, all records in the database…

Databases · Computer Science 2023-06-22 Wojciech Macyna , Michal Kukowski

Byte-addressable non-volatile memory (NVM) sitting on the memory bus is employed to make persistent memory (PMem) in general-purpose computing systems and embedded systems for data storage. Researchers develop software drivers such as the…

Hardware Architecture · Computer Science 2024-03-12 Qing Xu , Qisheng Jiang , Chundong Wang

Near-bank Processing-in-Memory (PIM) architectures integrate processing cores (PIMcores) close to DRAM banks to mitigate the high cost of off-chip memory accesses. When accelerating convolutional neural network (CNN) on DRAM-PIM,…

Hardware Architecture · Computer Science 2025-11-12 Simei Yang , Xinyu Shi , Lu Zhao , Yunyu Ling , Quanjun Wang , Francky Catthoor