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With the rapidly increasing complexity of modern chips, hardware engineers are required to invest more effort in tasks such as circuit design, verification, and physical implementation. These workflows often involve continuous…

Systems and Control · Electrical Eng. & Systems 2024-10-25 Kangwei Xu , Ruidi Qiu , Zhuorui Zhao , Grace Li Zhang , Ulf Schlichtmann , Bing Li

Large language models (LLMs) are a new and powerful tool for a wide span of applications involving natural language and demonstrate impressive code generation abilities. The goal of this work is to automatically generate tests and use these…

Artificial Intelligence · Computer Science 2024-03-12 Christian Munley , Aaron Jarmusch , Sunita Chandrasekaran

A common workflow in science and engineering is to (i) setup and deploy large experiments with tasks comprising an application and multiple parameter values; (ii) generate intermediate results; (iii) analyze them; and (iv) reprioritize the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-10 Bruno Silva , Marco A. S. Netto , Renato L. F. Cunha

Artificial intelligence (AI) methods have become critical in scientific applications to help accelerate scientific discovery. Large language models (LLMs) are being considered as a promising approach to address some of the challenging…

Domain specific accelerators present new challenges and opportunities for code generation onto novel instruction sets, communication fabrics, and memory architectures. In this paper we introduce an intermediate representation (IR) which…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-24 Matthew Sotoudeh , Anand Venkat , Michael Anderson , Evangelos Georganas , Alexander Heinecke , Jason Knight

As robots proliferate in manufacturing, Design for Robotic Assembly (DfRA), which is designing products for efficient automated assembly, is increasingly important. Traditional approaches to DfRA rely on manual planning, which is…

Robotics · Computer Science 2025-09-23 Nishka Khendry , Christos Margadji , Sebastian W. Pattinson

With the widespread adoption of Large Language Models (LLMs), the demand for high-performance LLM inference services continues to grow. To meet this demand, a growing number of AI accelerators have been proposed, such as Google TPU, Huawei…

Hardware Architecture · Computer Science 2025-10-08 Tianhao Zhu , Dahu Feng , Erhu Feng , Yubin Xia

Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-like text. In this paper, we present a comprehensive survey of…

Hardware Architecture · Computer Science 2024-09-06 Nikoletta Koilia , Christoforos Kachris

Large language models (LLMs) have shown promise in register-transfer level (RTL) design automation, but direct RTL generation remains difficult to validate, optimize, and integrate with compiler-based hardware design flows. Hardware…

Hardware Architecture · Computer Science 2026-05-19 Shuo Yin , Yihe Wang , Lancheng Zou , Xufeng Yao , Tinghuan Chen , Chen Bai , Zhengrong Wang , Tsung-Yi Ho , Bei Yu

Overlays are virtual, re-configurable architectures that overlay on top of physical FPGA fabrics. An overlay that is specialized for an application, or a class of applications, offers both fast reconfiguration and minimized performance…

Programming Languages · Computer Science 2020-09-03 Hongbo Rong

Field-programmable gate arrays (FPGAs) provide an opportunity to co-design applications with hardware accelerators, yet they remain difficult to program. High-level synthesis (HLS) tools promise to raise the level of abstraction by…

Programming Languages · Computer Science 2021-11-17 Rachit Nigam , Sachille Atapattu , Samuel Thomas , Zhijing Li , Theodore Bauer , Yuwei Ye , Apurva Koti , Adrian Sampson , Zhiru Zhang

Dedicated tensor accelerators demonstrate the importance of linear algebra in modern applications. Such accelerators have the potential for impressive performance gains, but require programmers to rewrite code using vendor APIs - a barrier…

In the manufacturing context, there have been numerous efforts to use modeling and simulation tools and techniques to improve manufacturing efficiency over the last four decades. While an increasing number of manufacturing system decisions…

Other Computer Science · Computer Science 2007-05-23 Hind El Haouzi

Nowadays, universities and companies have a huge need for simulation and modelling methodologies. In the particular case of traffic and transportation, making physical modifications to the real traffic networks could be highly expensive,…

Multiagent Systems · Computer Science 2016-02-01 Tiago Azevedo , Rosaldo J. F. Rossetti , Jorge G. Barbosa

A new approach to designing processor accelerators is presented. A new computing model and a special kind of accelerator with dynamic (end-user programmable) architecture is suggested. The new model considers a processor, in which a newly…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-07 János Végh

We present the TyTra-IR, a new intermediate language intended as a compilation target for high-level language compilers and a front-end for HDL code generators. We develop the requirements of this new language based on the design-space of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-20 Syed Waqar Nabi , Wim Vanderbauwhede

FPGA-based heterogeneous architectures provide programmers with the ability to customize their hardware accelerators for flexible acceleration of many workloads. Nonetheless, such advantages come at the cost of sacrificing programmability.…

Hardware Architecture · Computer Science 2018-07-05 Jason Cong , Zhenman Fang , Yuchen Hao , Peng Wei , Cody Hao Yu , Chen Zhang , Peipei Zhou

Modern Integrated Circuits (ICs) are becoming increasingly complex, and so is their development process. Hardware design verification entails a methodical and disciplined approach to the planning, development, execution, and sign-off of…

We motivate the design and implementation of a platform-neutral compute intermediate language (PENCIL) for productive and performance-portable accelerator programming.

Industry has gradually moved towards application-specific hardware accelerators in order to attain higher efficiency. While such a paradigm shift is already starting to show promising results, designers need to spend considerable manual…

Hardware Architecture · Computer Science 2022-02-07 Aviral Kumar , Amir Yazdanbakhsh , Milad Hashemi , Kevin Swersky , Sergey Levine
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