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Efficient workload scheduling is a critical challenge in modern heterogeneous computing environments, particularly in high-performance computing (HPC) systems. Traditional software-based schedulers struggle to efficiently balance workloads…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-20 Adam H. Ross , Vairavan Palaniappan , Debjit Pal

Data lakes spend a significant fraction of query execution time on scanning data from remote, disaggregated storage. Decoding alone accounts for 46% of runtime when running TPC-H directly on Parquet files. To address this bottleneck, we…

Databases · Computer Science 2026-05-06 Jonas Dann , Gustavo Alonso

Linux containers have gained high popularity in recent times. This popularity is significantly due to various advantages of containers over Virtual Machines (VM). The containers are lightweight, occupy lesser storage, have fast boot-up…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-21 Akshay Dhumal , Dharanipragada Janakiram

Cloud computing has grown rapidly in recent years, mainly due to the sharp increase in data transferred over the internet. This growth makes load balancing a key part of cloud systems, as it helps distribute user requests across servers to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-11 Shadman Sakib , Ajay Katangur , Rahul Dubey

SmartNICs have recently emerged as an appealing device for accelerating distributed systems. However, there has not been a comprehensive characterization of SmartNICs, and existing designs typically only leverage a single communication path…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-01 Xingda Wei , Rongxin Cheng , Yuhan Yang , Rong Chen , Haibo Chen

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

A parallel computer system is a collection of processing elements that communicate and cooperate to solve large computational problems efficiently. To achieve this, at first the large computational problem is partitioned into several tasks…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-09 Ardhendu Mandal , Subhas Chandra Pal

With the growing performance requirements on networked applications, there is a new trend of offloading stateful network applications to SmartNICs to improve performance and reduce the total cost of ownership. However, offloading stateful…

Networking and Internet Architecture · Computer Science 2024-10-30 Shaoke Xi , Jiaqi Gao , Mengqi Liu , Jiamin Cao , Fuliang Li , Kai Bu , Kui Ren , Minlan Yu , Dennis Cai , Ennan Zhai

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

The ever increasing sizes of Large Language Models (LLMs) beyond hundreds of billions of parameters have generated enormous pressure on the manufacturers of dedicated hardware accelerators and made the innovative design of the latter one of…

Machine Learning · Computer Science 2024-10-15 Mahsa Salmani , Nikita Trukhanov , Ilya Soloveychik

Meta computing is a new computing paradigm that aims to efficiently utilize all network computing resources to provide fault-tolerant, personalized services with strong security and privacy guarantees. It also seeks to virtualize the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-21 Mengjie Liu , Yihua Li , Fangyi Mou , Zhiqing Tang , Jiong Lou , Jianxiong Guo , Weijia Jia

We present Laminar, the first TCP stack that delivers ASIC-class performance and energy efficiency on programmable Reconfigurable Match-Action Table (RMT) pipelines, providing flexibility while retaining standard TCP semantics and POSIX…

Networking and Internet Architecture · Computer Science 2026-02-10 Rajath Shashidhara , Antoine Kaufmann , Simon Peter

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

With the advent of programmable network hardware, more and more functionality can be moved from software running on general purpose CPUs to the NIC. Early NICs only allowed offloading fixed functions like checksum computation. Recent NICs…

Networking and Internet Architecture · Computer Science 2025-09-29 Max Schrötter , Sten Heimbrodt , Bettina Schnor

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

Today's datacenter applications rely on datastores that are required to provide high availability, consistency, and performance. To achieve high availability, these datastores replicate data across several nodes. Such replication is managed…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-25 M. R. Siavash Katebzadeh , Antonios Katsarakis , Boris Grot

The network interface adapter (NIC) is a critical component of a cloud server occupying a unique position. Not only is network performance vital to efficient operation of the machine, but unlike compute accelerators like GPUs, the network…

Operating Systems · Computer Science 2025-04-24 Pengcheng Xu , Timothy Roscoe

Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis. Many of such computations can be implemented using a computer cluster with a…

Performance · Computer Science 2016-10-27 Freek van den Berg , Björn F. Postema , Boudewijn R. Haverkort

High-performance computing systems are more and more often based on accelerators. Computing applications targeting those systems often follow a host-driven approach in which hosts offload almost all compute-intensive sections of the code…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-15 E. Calore , A. Gabbana , S. F. Schifano , R. Tripiccione

The exponential growth of data traffic and the increasing complexity of networked applications demand effective solutions capable of passively inspecting and analysing the network traffic for monitoring and security purposes. Implementing…

Networking and Internet Architecture · Computer Science 2024-07-24 Luca Deri , Alfredo Cardigliano , Francesco Fusco