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In the past couple of decades, the computational abilities of supercomput- ers have increased tremendously. Leadership scale supercomputers now are capable of petaflops. Likewise, the problem size targeted by applications running on such…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-06 Robert Louis Cloud

In high performance computing, researchers try to optimize the CPU Scheduling algorithms, for faster and efficient working of computers. But a process needs both CPU bound and I/O bound for completion of its execution. With modernization of…

Operating Systems · Computer Science 2019-08-06 Amar Ranjan Dash , Sandipta Kumar Sahu , B Kewal

Conventional object-stores are built on top of traditional OS storage stack, where I/O requests typically transfers through multiple hefty and redundant layers. The complexity of object management has grown dramatically with the ever…

Databases · Computer Science 2022-07-08 Pratik Mishra , Rekha Pitchumani , Yang Suk Kee

cURL (libcurl) is a popular and widely used library distributed with the php interpreter. It allows php applications to connect to and communicate with external resources (servers) by using wide variety of communication protocols. In most…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-02 Yordan Kalmukov

For large scale distributed storage systems, flash memories are an excellent choice because flash memories consume less power, take lesser floor space for a target throughput and provide faster access to data. In a traditional distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-26 Srimugunthan , K. Gopinath

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

Hybrid Solid-State Drives (SSDs), which integrate several types of flash cells (e.g., single-level cell (SLC) and multiple-level cell (MLC)) in a single drive and enable them to convert between each other, are designed to deliver both high…

Hardware Architecture · Computer Science 2025-03-18 Qian Wei , Yi Li , Zehao Chen , Zhaoyan Shen , Dongxiao Yu , Bingzhe Li

Zoned Namespace (ZNS) SSDs offer a new storage model that allows for high throughput and low-latency storage by eliminating device-side garbage collection. The ZNS interface exposes storage as append-only zones, thus enforcing host…

Hardware Architecture · Computer Science 2026-04-21 Teona Bagashvili , Tarikul Islam Papon , Subhadeep Sarkar , Manos Athanassoulis

Federated learning increasingly operates in a large-model regime where communication, memory, and computation are all scarce. Typically, non-IID client data induce drift that degrades the stability and performance of local training.…

Machine Learning · Computer Science 2026-04-29 Shuchen Zhu , Zhengyang Huang , Yuqi Xu , Peijin Li

How stable is the performance of your flash-based Solid State Drives (SSDs)? This question is central for database designers and administrators, cloud service providers, and SSD constructors. The answer depends on write-amplification, i.e.,…

Databases · Computer Science 2015-04-02 Niv Dayan , Luc Bouganim , Philippe Bonnet

Solid-state drives (SSDs) have been widely deployed in desktops and data centers. However, SSDs suffer from bit errors, and the bit error rate is time dependent since it increases as an SSD wears down. Traditional storage systems mainly use…

Performance · Computer Science 2013-04-09 Yongkun Li , Patrick P. C. Lee , John C. S. Lui

The performance and capacity of solid-state drives (SSDs) are continuously improving to meet the increasing demands of modern data-intensive applications. Unfortunately, communication between the SSD controller and memory chips (e.g., 2D/3D…

We study how different output layer parameterizations of a deep neural network affects learning and forgetting in continual learning settings. The following three effects can cause catastrophic forgetting in the output layer: (1) weights…

Machine Learning · Computer Science 2022-08-19 Timothée Lesort , Thomas George , Irina Rish

This paper studies three fundamental aspects of an OS that impact the performance and energy efficiency of network processing: 1) batching, 2) processor energy settings, and 3) the logic and instructions of the OS networking paths. A…

Operating Systems · Computer Science 2021-12-15 Han Dong , Sanjay Arora , Yara Awad , Tommy Unger , Orran Krieger , Jonathan Appavoo

Gradient-based hyperparameter optimization has earned a widespread popularity in the context of few-shot meta-learning, but remains broadly impractical for tasks with long horizons (many gradient steps), due to memory scaling and gradient…

Machine Learning · Computer Science 2021-10-01 Paul Micaelli , Amos Storkey

The ever-increasing gap between compute and I/O performance in HPC platforms, together with the development of novel NVMe storage devices (NVRAM), led to the emergence of the burst buffer concept - an intermediate persistent storage layer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-11 Jan Kopanski , Krzysztof Rzadca

We consider content distribution in vehicular ad hoc networks. We assume that a file is encoded using fountain code, and the encoded message is cached at infostations. Vehicles are allowed to download data packets from infostations, which…

Information Theory · Computer Science 2010-03-05 Chi Wan Sung , Kenneth W. Shum , Wing Ho Yuen

Storage systems have not kept the same technology improvement rate as computing systems. As applications produce more and more data, I/O becomes the limiting factor for increasing application performance. I/O congestion caused by concurrent…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-03 Hatem Elshazly , Jorge Ejarque , Francesc Lordan , Rosa M. Badia

Hyperscalars run services across a large fleet of servers, serving billions of users worldwide. These services, however, behave differently than commonly available benchmark suites, resulting in server architectures that are not optimized…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-03 Suyash Mahar , Hao Wang , Wei Shu , Abhishek Dhanotia

Host-side page victimizations can easily overflow the SSD internal buffer, which interferes I/O services of diverse user applications thereby degrading user-level experiences. To address this, we propose FastDrain, a co-design of OS kernel…

Operating Systems · Computer Science 2020-06-23 Jie Zhang , Miryeong Kwon , Sanghyun Han , Nam Sung Kim , Mahmut Kandemir , Myoungsoo Jung