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Board-level hardware description languages (HDLs) are one approach to increasing automation and raising the level of abstraction for designing electronics. These systems borrow programming languages concepts like generators and type…

Programming Languages · Computer Science 2020-11-18 Richard Lin , Björn Hartmann

Transferring composite data structures with variable-length fields often requires designing unique protocols, causing incompatibility issues and decreased collaboration among hardware developers, especially in the open-source community.…

Hardware Architecture · Computer Science 2023-11-15 Yongding Tian , Matthijs A. Reukers , Zaid Al-Ars , Peter Hofstee , Matthijs Brobbel , Johan Peltenburg , Jeroen van Straten

Synthesis is a particularly challenging problem for concurrent programs. At the same time it is a very promising approach, since concurrent programs are difficult to get right, or to analyze with traditional verification techniques. This…

Formal Languages and Automata Theory · Computer Science 2015-06-09 Anca Muscholl

We present Calyx, a new intermediate language (IL) for compiling high-level programs into hardware designs. Calyx combines a hardware-like structural language with a software-like control flow representation with loops and conditionals.…

Programming Languages · Computer Science 2021-11-17 Rachit Nigam , Samuel Thomas , Zhijing Li , Adrian Sampson

Synthetic data has emerged as a crucial solution to the data scarcity bottleneck in large language models (LLMs), particularly for specialized domains and low-resource languages. However, the broader adoption of existing synthetic data…

Machine Learning · Computer Science 2026-05-12 Zhichao Shi , Cehao Yang , Hao Zhou , Xiaojun Wu , Huajie Li , Xuhui Jiang , Chengjin Xu , Yuanzhuo Wang , Jian Guo

Modeling and analysis of timing constraints is crucial in automotive systems. EAST-ADL is a domain specific architectural language dedicated to safety-critical automotive embedded system design. In most cases, a bounded number of violations…

Software Engineering · Computer Science 2018-06-21 Eun-Young Kang , Li Huang

Reinforcement learning (RL) has become a pivotal technology in the post-training phase of large language models (LLMs). Traditional task-colocated RL frameworks suffer from significant scalability bottlenecks, while task-separated RL…

We present DataFlow, a computational framework for building, testing, and deploying high-performance machine learning systems on unbounded time-series data. Traditional data science workflows assume finite datasets and require substantial…

Machine Learning · Computer Science 2026-01-01 Giacinto Paolo Saggese , Paul Smith

Accelerator design languages (ADLs), high-level languages that compile to hardware units, help domain experts quickly design efficient application-specific hardware. ADL compilers optimize datapaths and convert software-like control flow…

Programming Languages · Computer Science 2025-11-26 Ayaka Yorihiro , Griffin Berlstein , Pedro Pontes García , Kevin Laeufer , Adrian Sampson

Automated machine learning makes it easier for data scientists to develop pipelines by searching over possible choices for hyperparameters, algorithms, and even pipeline topologies. Unfortunately, the syntax for automated machine learning…

Machine Learning · Computer Science 2020-07-07 Guillaume Baudart , Martin Hirzel , Kiran Kate , Parikshit Ram , Avraham Shinnar

Due to the growing complexity of modern Integrated Circuits (ICs), automating hardware design can prevent a significant amount of human error from the engineering process and result in less errors. Verilog is a popular hardware description…

Artificial Intelligence · Computer Science 2025-03-06 Chia-Tung Ho , Haoxing Ren , Brucek Khailany

Much of the alignment tuning literature is organized around optimization objectives, while the construction of alignment data is often treated implicitly. In this survey, we adopt a data centric perspective and reframe alignment tuning as a…

Computation and Language · Computer Science 2026-05-27 Hwanjun Song

In recent years the computing landscape has seen an in- creasing shift towards specialized accelerators. Field pro- grammable gate arrays (FPGAs) are particularly promising as they offer significant performance and energy improvements…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-24 Raghu Prabhakar , David Koeplinger , Kevin Brown , HyoukJoong Lee , Christopher De Sa , Christos Kozyrakis , Kunle Olukotun

More often than not, there is a need to understand the structure of complex computer code: what functions and in what order they are called, how information travels around static, input, and output variables, what depends on what. As a…

Software Engineering · Computer Science 2016-10-10 Igor Polkovnikov

Logic synthesis is a challenging and widely-researched combinatorial optimization problem during integrated circuit (IC) design. It transforms a high-level description of hardware in a programming language like Verilog into an optimized…

Machine Learning · Computer Science 2021-10-25 Animesh Basak Chowdhury , Benjamin Tan , Ramesh Karri , Siddharth Garg

The rapidly growing demand for high-quality data in Large Language Models (LLMs) has intensified the need for scalable, reliable, and semantically rich data preparation pipelines. However, current practices remain dominated by ad-hoc…

Logic Programming languages and combinational circuit synthesis tools share a common "combinatorial search over logic formulae" background. This paper attempts to reconnect the two fields with a fresh look at Prolog encodings for the…

Logic in Computer Science · Computer Science 2008-12-18 Paul Tarau , Brenda Luderman

Innovative Electronic Design Automation (EDA) solutions are important to meet the design requirements for increasingly complex electronic devices. Verilog, a hardware description language, is widely used for the design and verification of…

Machine Learning · Computer Science 2023-06-08 Enrique Dehaerne , Bappaditya Dey , Sandip Halder , Stefan De Gendt

Expressing hardware designs using hardware description languages (HDLs) routinely involves using stateless signals whose values change according to their underlying registers. Unintended behaviours can arise when the stored values in these…

Hardware Architecture · Computer Science 2025-10-28 Jason Zhijingcheng Yu , Aditya Ranjan Jha , Umang Mathur , Trevor E. Carlson , Prateek Saxena

Hardware generation languages (HGLs) increase hardware design productivity by creating parameterized modules and test benches. Unfortunately, existing tools are not widely adopted due to several demerits, including limited support for…

Hardware Architecture · Computer Science 2023-09-12 Jintao Sun , Zeke Wang , Tao Lu , Wenzhi Chen