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Micro-architectural attacks use information leaked through shared resources to break hardware-enforced isolation. These attacks have been used to steal private information ranging from cryptographic keys to privileged Operating System (OS)…

Cryptography and Security · Computer Science 2021-09-21 Nikhilesh Singh , Chester Rebeiro

To address increasing compute demand from recent multi-model workloads with heavy models like large language models, we propose to deploy heterogeneous chiplet-based multi-chip module (MCM)-based accelerators. We develop an advanced…

Hardware Architecture · Computer Science 2023-12-18 Mohanad Odema , Hyoukjun Kwon , Mohammad Abdullah Al Faruque

Serverless computing is an emerging cloud paradigm that offers an elastic and scalable allocation of computing resources with pay-as-you-go billing. In the Function-as-a-Service (FaaS) programming model, applications comprise short-lived…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-23 Wei Qiu , Marcin Copik , Yun Wang , Alexandru Calotoiu , Torsten Hoefler

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

Heterogeneous multi-core systems such as big/little architectures have been introduced as an attractive server design option with the potential to improve performance under power constraints in data centres. Since both big high-performing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-23 Rajiv Nishtala , Vinicius Petrucci , Paul Carpenter , Xavier Martorell

The potential impact of autonomous robots on everyday life is evident in emerging applications such as precision agriculture, search and rescue, and infrastructure inspection. However, such applications necessitate operation in unknown and…

Current computational systems are heterogeneous by nature, featuring a combination of CPUs and GPUs. As the latter are becoming an established platform for high-performance computing, the focus is shifting towards the seamless programming…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-10-23 Fábio Soldado , Fernando Alexandre , Hervé Paulino

Due to the diversity and implicit redundancy in terms of processing units and compute kernels, off-the-shelf heterogeneous systems offer the opportunity to detect and tolerate faults during task execution in hardware as well as in software.…

Operating Systems · Computer Science 2014-05-14 Mario Kicherer , Wolfgang Karl

Efficient wideband spectrum sensing requires rapid evaluation and re-evaluation of signal presence and type across multiple subchannels. These tasks involve multiple hypothesis testing, where each hypothesis is implemented as a decision…

Emerging Technologies · Computer Science 2025-07-29 H. Umut Suluhan , Jiahao Lin , Serhan Gener , Chaitali Chakrabarti , Umit Ogras , Ali Akoglu

This paper presents a approach for measuring the time spent by HPC applications in the operating system's kernel. We use the SystemTap interface to insert timers before and after system calls, and take advantage of its stability to design a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-25 Camille Coti , Kevin Huck , Allen D. Malony

The second generation of Robotic Operating System, ROS 2, has gained much attention for its potential to be used for safety-critical robotic applications. The need to provide a solid foundation for timing correctness and scheduling…

Systems and Control · Electrical Eng. & Systems 2024-12-31 Hoora Sobhani , Hyunjong Choi , Hyoseung Kim

The Linux kernel source code contains numerous constant values that critically influence system performance. Many of these constants, which we term perf-consts, are magic numbers that encode brittle assumptions about hardware and workloads.…

Operating Systems · Computer Science 2025-12-16 Zhongjie Chen , Wentao Zhang , Yulong Tang , Ran Shu , Fengyuan Ren , Tianyin Xu , Jing Liu

The complexity of embedded application design is increasing with growing user demands. In particular, automotive embedded systems are highly complex in nature, and their functionality is realized by a set of periodic tasks. These tasks may…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-28 Anna Minaeva , Benny Akesson , Zdenek Hanzalek , Dakshina Dasari

Task-based programming models have become very popular, as they offer an attractive solution to parallelize serial application code with task and data annotations. They usually depend on a runtime system that schedules the tasks to multiple…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-15 Spyros Lyberis , Polyvios Pratikakis , Iakovos Mavroidis , Dimitrios S. Nikolopoulos

Utilizing on-chip caches in embedded multiprocessor-system-on-a-chip (MPSoC) based systems is critical from both performance and power perspectives. While most of the prior work that targets at optimizing cache behavior are performed at…

Hardware Architecture · Computer Science 2011-11-09 Mahmut Kandemir , Guilin Chen

In recent processor development, we have witnessed the integration of GPU and CPUs into a single chip. The result of this integration is a reduction of the data communication overheads. This enables an efficient collaboration of both…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-07 Francisco Corbera , Andrés Rodríguez , Rafael Asenjo , Angeles Navarro , Antonio Vilches , María J. Garzarán

Read-Copy Update (RCU) is a scalable, high-performance Linux-kernel synchronization mechanism that runs low-overhead readers concurrently with updaters. Production-quality RCU implementations for multi-core systems are decidedly…

Logic in Computer Science · Computer Science 2018-11-27 Lihao Liang , Paul E. McKenney , Daniel Kroening , Tom Melham

There has been significant research over the past two decades in developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimick biology. They use neural networks which can be trained to…

Neural and Evolutionary Computing · Computer Science 2015-07-23 Xavier Lagorce , Ryad Benosman

Bandwidth-starved multicore chips have become ubiquitous. It is well known that the performance of stencil codes can be improved by temporal blocking, lessening the pressure on the memory interface. We introduce a new pipelined approach…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-17 Markus Wittmann , Georg Hager , Jan Treibig , Gerhard Wellein

Major chip manufacturers have all introduced multicore microprocessors. Multi-socket systems built from these processors are routinely used for running various server applications. Depending on the application that is run on the system,…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-25 Murthy Durbhakula