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Neural personalized recommendation models are used across a wide variety of datacenter applications including search, social media, and entertainment. State-of-the-art models comprise large embedding tables that have billions of parameters…

Hardware Architecture · Computer Science 2021-02-02 Mark Wilkening , Udit Gupta , Samuel Hsia , Caroline Trippel , Carole-Jean Wu , David Brooks , Gu-Yeon Wei

Configuring a storage system to better serve an application is a challenging task complicated by a multidimensional, discrete configuration space and the high cost of space exploration (e.g., by running the application with different…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-11 Lauro Beltrão Costa , Abmar Barros , Samer Al-Kiswany , Hao Yang , Emalayan Vairavanathan , Matei Ripeanu

Recently, 3D SSDs are widely adopted in PCs, data centers, and cloud storage systems. To increase capacity, high bit-density cells, such as Triple-Level Cell (TLC), are utilized within 3D SSDs. However, due to the inferior performance of…

Hardware Architecture · Computer Science 2024-10-15 Xufeng Yang , Zhengjian Cong , Congming Gao

Software-defined networking (SDN) and software-defined flash (SDF) have been serving as the backbone of modern data centers. They are managed separately to handle I/O requests. At first glance, this is a reasonable design by following the…

Operating Systems · Computer Science 2023-09-14 Benjamin Reidys , Yuqi Xue , Daixuan Li , Bharat Sukhwani , Wen-mei Hwu , Deming Chen , Sameh Asaad , Jian Huang

Responding to the "datacenter tax" and "killer microseconds" problems for datacenter applications, diverse solutions including Smart NIC-based ones have been proposed. Nonetheless, they often suffer from high overhead of communications over…

Hardware Architecture · Computer Science 2022-10-19 Yifan Yuan , Jinghan Huang , Yan Sun , Tianchen Wang , Jacob Nelson , Dan R. K. Ports , Yipeng Wang , Ren Wang , Charlie Tai , Nam Sung Kim

The data movement in large-scale computing facilities (from compute nodes to data nodes) is categorized as one of the major contributors to high cost and energy utilization. To tackle it, in-storage processing (ISP) within storage devices,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-16 Hongsu Byun , Safdar Jamil , Jungwook Han , Sungyong Park , Myungcheol Lee , Changsoo Kim , Beongjun Choi , Youngjae Kim

Load balancing is critical for distributed storage to meet strict service-level objectives (SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered storage system. However, when the system scales out to…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-18 Zaoxing Liu , Zhihao Bai , Zhenming Liu , Xiaozhou Li , Changhoon Kim , Vladimir Braverman , Xin Jin , Ion Stoica

Achieving high performance in virtualized data centers requires both deploying high throughput storage clusters, i.e. based on Solid State Disks (SSDs), as well as optimally consolidating the workloads across storage nodes. Nowadays, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-29 Zhihao Yao , Ioannis Papapanagiotou , Rean Griffith

Cloud computing, despite its advantages in scalability, may not always fully satisfy the low-latency demands of emerging latency-sensitive pervasive applications. The cloud-edge continuum addresses this by integrating the responsiveness of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-09 Xu Bai , Muhammed Tawfiqul Islam , Rajkumar Buyya , Adel N. Toosi

Major chip manufacturers have all introduced multicore microprocessors. Multi-socket systems built from these processors are used for running various server applications. However to the best of our knowledge current commercial operating…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-24 Suryanarayana Murthy Durbhakula

Caches are an important component of modern computing systems given their significant impact on performance. In particular, caches play a key role in the cloud due to the nature of large-scale, data-intensive processing. One of the key…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-05 Jinhwan Choi , Yu Gu , Jinoh Kim

Large-scale systems with all-flash arrays have become increasingly common in many computing segments. To make such systems resilient, we can adopt erasure coding such as Reed-Solomon (RS) code as an alternative to replication because…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-21 Sungjoon Koh , Jie Zhang , Miryeong Kwon , Jungyeon Yoon , David Donofrio , Nam Sung Kim , Myoungsoo Jung

Management of disk scheduling is a very important aspect of operating system. Performance of the disk scheduling completely depends on how efficient is the scheduling algorithm to allocate services to the request in a better manner. Many…

Operating Systems · Computer Science 2014-03-04 Sourav Kumar Bhoi , Sanjaya Kumar Panda , Imran Hossain Faruk

Solid state drives (SSDs) have seen wide deployment in mobiles, desktops, and data centers due to their high I/O performance and low energy consumption. As SSDs write data out-of-place, garbage collection (GC) is required to erase and…

Performance · Computer Science 2013-03-22 Yongkun Li , Patrick P. C. Lee , John C. S. Lui

With emerging storage-class memory (SCM) nearing commercialization, there is evidence that it will deliver the much-anticipated high density and access latencies within only a few factors of DRAM. Nevertheless, the latency-sensitive nature…

Quad-level cell (QLC) flash offers significant benefits in cost and capacity, but its limited reliability leads to frequent read retries, which severely degrade read performance. A common strategy in high-density flash storage is to program…

Hardware Architecture · Computer Science 2025-08-28 Yanyun Wang , Dingcui Yu , Yina Lv , Yunpeng Song , Yumiao Zhao , Liang Shi

Coarse-Grained Reconfigurable Arrays (CGRAs) are specialized accelerators commonly employed to boost performance in workloads with iterative structures. Existing research typically focuses on compiler or architecture optimizations aimed at…

Hardware Architecture · Computer Science 2025-08-28 Xiangfeng Liu , Zhe Jiang , Anzhen Zhu , Xiaomeng Han , Mingsong Lyu , Qingxu Deng , Nan Guan

Recent trends see a move away from a fixed-resource server-centric datacenter model to a more adaptable "disaggregated" datacenter model. These disaggregated datacenters can then dynamically group resources to the specific requirements of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-24 Rashadul Kabir , Ryan G. Kim , Mahdi Nikdast

Modern multicore processors are employing large last-level caches, for example Intel's E7-8800 processor uses 24MB L3 cache. Further, with each CMOS technology generation, leakage energy has been dramatically increasing and hence, leakage…

Hardware Architecture · Computer Science 2013-10-17 Sparsh Mittal

Due to increasing cache sizes and large leakage consumption of SRAM device, conventional SRAM caches contribute significantly to the processor power consumption. Recently researchers have used non-volatile memory devices to design caches,…

Hardware Architecture · Computer Science 2014-05-01 Sparsh Mittal