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The ability to record and replay program executions with low overhead enables many applications, such as reverse-execution debugging, debugging of hard-to-reproduce test failures, and "black box" forensic analysis of failures in deployed…

Programming Languages · Computer Science 2016-10-10 Robert O'Callahan , Chris Jones , Nathan Froyd , Kyle Huey , Albert Noll , Nimrod Partush

GPU architectures have become popular for executing general-purpose programs. Their many-core architecture supports a large number of threads that run concurrently to hide the latency among dependent instructions. In modern GPU…

Hardware Architecture · Computer Science 2024-01-19 Rodrigo Huerta , Mojtaba Abaie Shoushtary , Antonio González

Development of fast methods to conduct in silico experiments using computational models of cellular signaling is a promising approach toward advances in personalized medicine. However, software-based cellular network simulation has…

Molecular Networks · Quantitative Biology 2018-11-20 Kevin Gilboy , Khaled Sayed , Niteesh Sundaram , Kara Bocan , Natasa Miskov-Zivanov

Triple Modular Redundancy (TMR) is one of the most common techniques in fault-tolerant systems, in which the output is determined by a majority voter. However, the design diversity of replicated modules and/or soft errors that are more…

Hardware Architecture · Computer Science 2023-07-06 Jafar Vafaei , Omid Akbari , Muhammad Shafique , Christian Hochberger

RAPID-LLM is a unified performance modeling framework for large language model (LLM) training and inference on GPU clusters. It couples a DeepFlow-based frontend that generates hardware-aware, operator-level Chakra execution traces from an…

Simultaneous Localization and Mapping (SLAM) has been crucial across various domains, including autonomous driving, mobile robotics, and mixed reality. Dense visual SLAM, leveraging RGB-D camera systems, offers advantages but faces…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Hongbeen Park , Minjeong Park , Giljoo Nam , Jinkyu Kim

Accommodating all the weights on-chip for large-scale NNs remains a great challenge for SRAM based computing-in-memory (SRAM-CIM) with limited on-chip capacity. Previous non-volatile SRAM-CIM (nvSRAM-CIM) addresses this issue by integrating…

Hardware Architecture · Computer Science 2024-01-12 Dengfeng Wang , Liukai Xu , Songyuan Liu , Zhi Li , Yiming Chen , Weifeng He , Xueqing Li , Yanan Sun

The Tsetlin Machine (TM) offers high-speed inference on resource-constrained devices such as CPUs. Its logic-driven operations naturally lend themselves to parallel execution on modern CPU architectures. Motivated by this, we propose an…

Machine Learning · Computer Science 2025-10-20 Yefan Zeng , Shengyu Duan , Rishad Shafik , Alex Yakovlev

Writing SystemVerilog Assertions (SVA) is an important but complex step in verifying Register Transfer Level (RTL) designs. Conventionally, experts need to understand the design specifications and write the SVA assertions, which is…

Hardware Architecture · Computer Science 2024-09-25 Karthik Maddala , Bhabesh Mali , Chandan Karfa

RISC-V ISA-based processors have recently emerged as both powerful and energy-efficient computing platforms. The release of the MILK-V Pioneer marked a significant milestone as the first desktop-grade RISC-V system. With increasing…

The rapid development of RISC-V instruction set architecture presents new opportunities and challenges for software developers. Is it sufficient to simply recompile high-performance software optimized for x86-64 onto RISC-V CPUs? Are…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-17 Anna Pirova , Anastasia Vodeneeva , Konstantin Kovalev , Alexander Ustinov , Evgeny Kozinov , Alexey Liniov , Valentin Volokitin , Iosif Meyerov

Large language models (LLMs) are increasingly deployed on edge devices. To meet strict resource constraints, real-world deployment has pushed LLM quantization from 8-bit to 4-bit, 2-bit, and now 1.58-bit. Combined with lookup table…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-15 Xiangyu Li , Chengyu Yin , Weijun Wang , Jianyu Wei , Ting Cao , Yunxin Liu

AI agents powered by large language models (LLMs) are being used to solve increasingly complex software engineering challenges, but struggle with hardware design tasks. Register Transfer Level (RTL) code presents a unique challenge for…

Radio Resource Management (RRM) in 5G mobile communication is a challenging problem for which Recurrent Neural Networks (RNN) have shown promising results. Accelerating the compute-intensive RNN inference is therefore of utmost importance.…

Signal Processing · Electrical Eng. & Systems 2020-04-07 Renzo Andri , Tomas Henriksson , Luca Benini

The application of large-language models (LLMs) to digital hardware code generation is an emerging field, with most LLMs primarily trained on natural language and software code. Hardware code like Verilog constitutes a small portion of…

Hardware Architecture · Computer Science 2025-02-05 Nathaniel Pinckney , Christopher Batten , Mingjie Liu , Haoxing Ren , Brucek Khailany

A circuit-simulation-based method is used to determine the thermally-induced bit error rate of superconducting logic circuits. Simulations are used to evaluate the multidimensional Gaussian integral across noise current sources attached to…

Applied Physics · Physics 2023-06-14 Quentin Herr , Alex Braun , Andrew Brownfield , Ed Rudman , Dan Dosch , Trent Josephsen , Anna Herr

The Image Source Method (ISM) is one of the most employed techniques to calculate acoustic Room Impulse Responses (RIRs), however, its computational complexity grows fast with the reverberation time of the room and its computation time can…

Audio and Speech Processing · Electrical Eng. & Systems 2020-10-12 David Diaz-Guerra , Antonio Miguel , Jose R. Beltran

The ability to record and replay program executions with low overhead enables many applications, such as reverse-execution debugging, debugging of hard-to-reproduce test failures, and "black box" forensic analysis of failures in deployed…

Programming Languages · Computer Science 2017-05-18 Robert O'Callahan , Chris Jones , Nathan Froyd , Kyle Huey , Albert Noll , Nimrod Partush

This paper evaluates the use of pin and cycle accurate SystemC models for embedded system design exploration and early software development. The target system is MicroBlaze VanillaNet Platform running MicroBlaze uClinux operating system.…

Hardware Architecture · Computer Science 2011-11-09 Tero Rissa , Adam Donlin , Wayne Luk

SystemVerilog Assertions (SVAs) are essential for verifying Register Transfer Level (RTL) designs, as they can be embedded into key functional paths to detect unintended behaviours. During simulation, assertion failures occur when the…

Hardware Architecture · Computer Science 2025-03-07 Jie Zhou , Youshu Ji , Ning Wang , Yuchen Hu , Xinyao Jiao , Bingkun Yao , Xinwei Fang , Shuai Zhao , Nan Guan , Zhe Jiang
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