26 papers · ranked by Valyu relevance
Sihyeong Park, Jemin Lee, Byung-Soo Kim, Seokhun Jeon
With the advancement of Large Language Models (LLMs), the importance of accelerators that efficiently process LLM computations has been increasing. This paper discusses the necessity of LLM accelerators and provides a comprehensive analysis of the hardware and software characteristics of the main commercial LLM…
Calvin Deutschbein
Hardware presents an enticing target for attackers attempting to gain access to a secured computer system. Software-only exploits of hardware vulnerabilities may bypass software level security features. Hardware must be made secure. However, to understand whether a hardware design is secure, security specifications…
Ferdinand Lange, Sascha Beutel
This article introduces the next generation of the Gateway-Module, which is designed to simplify experimental setups and to further advance digitization. Based on the innovative work of Porr et al. in 2020, the Gateway-Module-v3 replaces the single board computer (SBC) with a Phytec i.MX 8M Plus (phycore-imx8mp) System…
Rui Azevedo Antunes, Luís Brito Palma
Title: Graphical abstract
Fabio Stefanini, Emre O. Neftci, Sadique Sheik, Giacomo Indiveri
Neuromorphic hardware offers an electronic substrate for the realization of asynchronous event-based sensory-motor systems and large-scale spiking neural network architectures. In order to characterize these systems, configure them, and carry out modeling experiments, it is often necessary to interface them to…
Camille Lavayssière, Benoît Larroque, Franck Luthon
Title: Graphical abstract
Authors not listed
Computational chemistry has entered a new era where machine learning (ML) models—particularly graph neural networks and machine learning force fields—routinely deliver quantum mechanical accuracy at classical speeds, scaling to millions of atoms and reshaping workflows in drug discovery, catalysis, and materials…
Jonny L. Saunders, Lucas A. Ott, Michael Wehr
Neuroscience needs behavior, and behavioral experiments require the coordination of large numbers of heterogeneous hardware components and data streams. Currently available tools strongly limit the complexity and reproducibility of experiments. Here we introduce Autopilot, a complete, open-source Python framework for…
Zhiyuan Yan, Wenji Fang, Mengming Li, Min Li + 3 more
Specifications via Multi-LLMs Authors: ['Zhiyuan Yan' 'Wenji Fang' 'Mengming Li' 'Min Li' 'Shang Liu' 'Zhiyao Xie' 'Hongce Zhang'] Assertion-based verification (ABV) is a critical method to ensure logic designs comply with their architectural specifications. ABV requires assertions, which are generally converted from…
Authors not listed
The recent emergence of self-driving labs (SDL) and material acceleration platforms (MAPs) demonstrates the ability of these systems to change the way chemistry and material syntheses will be performed in the future. Especially in conjunction with nano and advanced materials which are generally recognized for their…
IK Indrajit, A Alam
Computers are an integral part of modern radiology practice. They are used in different radiology modalities to acquire, process, and postprocess imaging data. They have had a dramatic influence on contemporary radiology practice. Their impact has extended further with the emergence of Digital Imaging and…
Taiga Abe, Ian Kinsella, Shreya Saxena, E. Kelly Buchanan + 7 more
A major goal of computational neuroscience is the development of powerful data analyses that operate on large datasets. These analyses form an essential toolset to derive scientific insights from new experiments. Unfortunately, a major obstacle currently impedes progress: novel data analyses have a hidden dependence…
Jonathan P. Newman, Jie Zhang, Aarón Cuevas-López, Nicholas J. Miller + 10 more
'Nicholas J. Miller' 'Takato Honda' 'Marie-Sophie H. van der Goes' 'Alexandra H. Leighton' 'Filipe Carvalho' 'Gonçalo Lopes' 'Anna Lakunina' 'Joshua H. Siegle' 'Mark T. Harnett' 'Matthew A. Wilson' 'Jakob Voigts'] Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural…
Wei Liu, Mitchell C. Burnett, Dan Werthimer, J. Kocz
Servers and GPUs in Radio Astronomy Authors: ['Wei Liu' 'Mitchell C. Burnett' 'Dan Werthimer' 'J. Kocz'] The increased bandwidth coupled with the large numbers of antennas of several new radio telescope arrays has resulted in an exponential increase in the amount of data that needs to be recorded and processed. In many…
Authors not listed
Nondestructive ultrasonic testing is finding increasing use in battery science. We provide instructions and software for the development of a low cost, modular, and easy to use scanning acoustic microscope. Basic principles of ultrasonic testing are discussed with particular attention to its application for operando…
Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski + 19 more
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2 system, a hybrid accelerated neuromorphic hardware architecture based…
Pol Van Aubel, Daniel J. Bernstein, Ruben Niederhagen
> 1 Radboud University Digital Security Group P.O. Box 9010, 6500 GL Nijmegen, The Netherlands radboud@polvanaubel.com 2 Department of Computer Science University of Illinois at Chicago Chicago, IL 60607–7045, USA djb@cr.yp.to 3 Department of Mathematics and Computer Science Technische Universiteit Eindhoven P.O. Box…
Marcel Stimberg, Dan F. M. Goodman, Thomas Nowotny
“Brian” is a popular Python-based simulator for spiking neural networks, commonly used in computational neuroscience. GeNN is a C++-based meta-compiler for accelerating spiking neural network simulations using consumer or high performance grade graphics processing units (GPUs). Here we introduce a new software package…
E. Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski + 19 more
'Arne Emmel' 'Jakob Kaiser' 'Christian Mauch' 'S. Schmitt' 'Philipp Spilger' 'Raphael Stock' 'Yannik Stradmann' 'Johannes Weis' 'Andreas Baumbach' 'Sebastian Billaudelle' 'Benjamin Cramer' 'Falk Ebert' 'Julian Göltz' 'Joscha Ilmberger' 'Vitali Karasenko' 'Mitja Kleider' 'Aron Leibfried' 'Christian Pehle' 'Johannes…
Rodolfo Keesey, Armi Tiihonen, Alexander E. Siemenn, Thomas W. Colburn + 18 more
Rodolfo Keesey , Armi Tiihonen3,1 , Alexander E. Siemenn 1 , Thomas W. Colburn 4 , Shijing Sun 1 , Noor Titan Putri Hartono 1 , James Serdy 1 , Margaret Zeile 2 , Keqing He 2 , Cole A. Gurtner 4 , Austin C. Flick 4 , Clio Batali 1 , Alex Encinas 1 , Richa R. Naik 1 , Zhe Liu 1 , Felipe Oviedo 1 , I. Marius Peters 1 …
Alexander Wallerus, Sofia Castro e Almeida, Johannes Passecker
A major challenge in behavioral neuroscience is the lack of a unified software framework capable of implementing diverse paradigms across species and experimental setups. Researchers currently face a trade-off: they must either spend significant time developing custom, siloed solutions that hinder reproducibility, or…
George Dimitriadis, Ella Svahn, Andrew MacAskill, Athena Akrami
To realise a research project idea, an experimenter faces a series of conflicting design and implementation considerations, regarding both its hardware and software components. For instance, the ease of implementation, in time and expertise, should be balanced against the ease of future reconfigurability and number of…
David Miguel Susano Pinto, Mick A Phillips, Nicholas Hall, Julio Mateos–Langerak + 5 more
Custom built microscopes often require control of multiple hardware devices and precise hardware coordination. It is also desirable to have a solution that is scalable to complex systems and translatable between components from different manufacturers. Here we report Python-Microscope, a free and open source Python…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…
Maxwell B. Madden, Mahee Khatri, Arnav Mohanty, Disha Prasad + 2 more
Head-fixed behavior in rodents is a foundational technique in systems neuroscience which enables use of sophisticated imaging techniques in combination with animal behavior. However, accessibility of head-fixed behavior techniques is limited. Animal training consumes a large amount of experimenter labor and commercial…
Harinder Singh
GPU-accelerated server platforms that share most of their hardware architecture often require separate firmware images due to minor hardware differences—different component identifiers, thermal profiles, or interconnect topologies. I built nvidia-pcm to eliminate that overhead. nvidia-pcm is a platform configuration…