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Heterogeneous architectures have emerged as a promising alternative for homogeneous architectures to improve the energy-efficiency of computer systems. Composite Cores Architecture (CCA), a class of dynamic heterogeneous architectures…

Hardware Architecture · Computer Science 2018-08-07 Hossein Sayadi

The proliferation of multi-core and multiprocessor-based computer systems has led to explosive development of parallel applications and hence the need for efficient schedulers. In this paper, we study hierarchical scheduling for malleable…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-16 Yangjie Cao , Hongyang Sun , Depei Qian , Weiguo Wu

Multicore CPU architectures have been established as a structure for general-purpose systems for high-performance processing of applications. Recent multicore CPU has evolved as a system architecture based on non-uniform memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-26 Geunsik Lim , Sang-Bum Suh

Developing CPU scheduling algorithms and understanding their impact in practice can be difficult and time consuming due to the need to modify and test operating system kernel code and measure the resulting performance on a consistent…

Operating Systems · Computer Science 2013-07-17 Neetu Goel , R. B. Garg

Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware. To address such increasing demands, designing a scalable hardware architecture became a…

Hardware Architecture · Computer Science 2024-09-17 Mohanad Odema , Luke Chen , Hyoukjun Kwon , Mohammad Abdullah Al Faruque

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

One of the primary sources of unpredictability in modern multi-core embedded systems is contention over shared memory resources, such as caches, interconnects, and DRAM. Despite significant achievements in the design and analysis of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-18 Ankit Agrawal , Renato Mancuso , Rodolfo Pellizzoni , Gerhard Fohler

Multi-core architectures feature an intricate hierarchy of cache memories, with multiple levels and sizes. To adequately decompose an application according to the traits of a particular memory hierarchy is a cumbersome task that may be…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-20 Hervé Paulino , Nuno Delgado

Major chip manufacturers have all introduced Multithreaded processors. These processors are used for running a variety of workloads. Efficient resource utilization is an important design aspect in such processors. Particularly, it is…

Performance · Computer Science 2019-08-13 Murthy Durbhakula

It is an increasingly important issue to reduce the energy consumption of computing systems. In this paper, we consider partition based energy-aware scheduling of periodic real-time tasks on multicore processors. The scheduling exploits…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Hongtao Huang , Feng Xia , Jijie Wang , Siyu Lei , Guowei Wu

Multi-tenancy for latency-critical applications leads to re-source interference and unpredictable performance. Core reconfiguration opens up more opportunities for colocation,as it allows the hardware to adjust to the dynamic performance…

Access to parallel and distributed computation has enabled researchers and developers to improve algorithms and performance in many applications. Recent research has focused on next generation special purpose systems with multiple kinds of…

Machine Learning · Computer Science 2019-06-11 Tegg Taekyong Sung , Valliappa Chockalingam , Alex Yahja , Bo Ryu

Single instruction, multiple data (SIMD) is a popular design style of in-memory computing (IMC) architectures, which enables memory arrays to perform logic operations to achieve low energy consumption and high parallelism. To implement a…

Emerging Technologies · Computer Science 2024-12-04 Xingyue Qian , Chen Nie , Zhezhi He , Weikang Qian

The need to develop systems that exploit multi and many-core architectures to reduce wasteful heat generation is of utmost importance in compute-intensive applications. We propose an energy-conscious approach to multicore scheduling known…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-15 Matthew Michel , Hyunyoung Lee

Growing power dissipation due to high performance requirement of processor suggests multicore processor technology, which has become the technology for present and next decade. Research advocates asymmetric multi-core processor system for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-15 Alan David

In this paper, we address the power-aware scheduling of sporadic constrained-deadline hard real-time tasks using dynamic voltage scaling upon multiprocessor platforms. We propose two distinct algorithms. Our first algorithm is an off-line…

Operating Systems · Computer Science 2008-03-10 Vincent Nélis , Joël Goossens , Nicolas Navet , Raymond Devillers , Dragomir Milojevic

Multiple applications executing concurrently on a multicore system interfere with each other at different shared resources such as main memory and shared caches. Such inter-application interference, if uncontrolled, results in high system…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-14 Lavanya Subramanian

Modern commercial-off-the-shelf (COTS) multicore processors have advanced memory hierarchies that enhance memory-level parallelism (MLP), which is crucial for high performance. To support high MLP, shared last-level caches (LLCs) are…

Hardware Architecture · Computer Science 2025-07-23 Connor Sullivan , Alex Manley , Mohammad Alian , Heechul Yun

Motivated by the need for adaptive, secure and responsive scheduling in a great range of computing applications, including human-centered and time-critical applications, this paper proposes a scheduling framework that seamlessly adds…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-14 Georgios C. Chasparis , Vladimir Janjic , Michael Rossbory

Real-time systems, particularly those used in domains like automated driving, are increasingly adopting neural networks. From this trend arises the need for high-performance hardware exhibiting predictable timing behavior. While…

Hardware Architecture · Computer Science 2026-02-26 Maximilian Kirschner , Konstantin Dudzik , Ben Krusekamp , Jürgen Becker