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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

System-level design methodologies have been introduced as a solution to handle the design complexity of mixed Hardware / Software systems. In this paper we describe a system-level design flow starting from Simulink specification, focusing…

Software Engineering · Computer Science 2012-07-18 Youssef Atat , Mostafa Rizk

We present ESP4ML, an open-source system-level design flow to build and program SoC architectures for embedded applications that require the hardware acceleration of machine learning and signal processing algorithms. We realized ESP4ML by…

Hardware Architecture · Computer Science 2020-06-19 Davide Giri , Kuan-Lin Chiu , Giuseppe Di Guglielmo , Paolo Mantovani , Luca P. Carloni

Embedded Systems combine one or more processor cores with dedicated logic running on an ASIC or FPGA to meet design goals at reasonable cost. It is achieved by profiling the application with variety of aspects like performance, memory…

Performance · Computer Science 2013-12-12 Rajendra Patel , Arvind Rajwat

This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sophisticated models. Software and hardware can be specifically…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-16 Christian Klarhorst , Martin Flasskamp , Johannes Ax , Thorsten Jungeblut , Wayne Kelly , Mario Porrmann , Ulrich Rückert

The most important way to achieve higher performance in computer systems is through heterogeneous computing, i.e., by adopting hardware platforms containing more than one type of processor, such as CPUs, GPUs, and FPGAs. Several types of…

Software Engineering · Computer Science 2020-05-19 Hugo Andrade , Ivica Crnkovic , Jan Bosch

Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-11 Jianbin Fang , Chun Huang , Tao Tang , Zheng Wang

Modern manufacturing under High-Mix-Low-Volume requirements increasingly relies on flexible and adaptive matrix production systems, which depend on interconnected heterogeneous devices and rapid task reconfiguration. To address these needs,…

Robotics · Computer Science 2026-03-26 Jiangtao Shuai , Marvin Carl May , Sonja Schimmler , Manfred Hauswirth

A surge in artificial intelligence and autonomous technologies have increased the demand toward enhanced edge-processing capabilities. Computational complexity and size of state-of-the-art Deep Neural Networks (DNNs) are rising…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-12 Rawan Naous , Lazar Supic , Yoonhwan Kang , Ranko Sredojevic , Anish Singhani , Vladimir Stojanovic

The increasing density of transistors in Integrated Circuits (ICs) has enabled the development of highly integrated Systems-on-Chip (SoCs) and, more recently, Multiprocessor Systems-on-Chip (MPSoCs). To address scalability challenges in…

Hardware Architecture · Computer Science 2025-04-29 Rodrigo Cataldo , Cesar Marcon , Debora Matos

With multi-core processors a ubiquitous building block of modern supercomputers, it is now past time to enable applications to embrace these developments in processor design. To achieve exascale performance, applications will need ways of…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-08-13 Michele Weiland , Lawrence Mitchell , Gerard Gorman , Stephan Kramer , Mark Parsons , James Southern

The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such models involve a least…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-28 Kazuaki Matsumura , Simon Garcia De Gonzalo , Antonio J. Peña

Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally…

Software Engineering · Computer Science 2020-12-11 Hugo Andrade , Ola Benderius , Christian Berger , Ivica Crnkovic , Jan Bosch

High-performance computing (HPC) is essential for tackling complex computational problems across various domains. As the scale and complexity of HPC applications continue to grow, the need for scalable systems and software architectures…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-21 Risshab Srinivas Ramesh

High-level synthesis (HLS) tools have brought FPGA development into the mainstream, by allowing programmers to design architectures using familiar languages such as C, C++, and OpenCL. While the move to these languages has brought…

Hardware Architecture · Computer Science 2019-10-11 Johannes de Fine Licht , Torsten Hoefler

The increasing demands for computing performance have been a reality regardless of the requirements for smaller and more energy efficient devices. Throughout the years, the strategy adopted by industry was to increase the robustness of a…

Software Engineering · Computer Science 2019-05-07 Hugo Andrade , Ivica Crnkovic

This whitepaper proposes a unified framework for hardware design tools to ease the development and inter-operability of said tools. By creating a large ecosystem of hardware development tools across vendors, academia, and the open source…

Hardware Architecture · Computer Science 2020-03-03 John Demme

Large language models (LLMs) are adopted for software and hardware design, yet these domains are still evaluated separately. Software benchmarks typically assume fixed hardware targets, while hardware benchmarks focus on component-level…

Hardware Architecture · Computer Science 2026-05-20 Pei-Huan Tsai , Kuan-Lin Chiu , William Baisi , Pin-Yu Chen , Luca P. Carloni

In this paper, we introduce a software-defined framework that enables the parallel utilization of all the programmable processing resources available in heterogeneous system-on-chip (SoC) including FPGA-based hardware accelerators and…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-12 Jose Nunez-Yanez , Mohammad Hosseinabady , Moslem Amiri , Andrés Rodríguez , Rafael Asenjo , Angeles Navarro , Rubén Gran-Tejero , Darío Suárez-Gracia

In this work, we propose a portable, Linux-based emulation framework to provide an ecosystem for hardware-software co-design of Domain-specific SoCs (DSSoCs) and enable their rapid evaluation during the pre-silicon design phase. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-14 Joshua Mack , Nirmal Kumbhare , Anish NK , Umit Y. Ogras , Ali Akoglu