15 papers · ranked by Valyu relevance
Yingge Li, Haihua Hu, Jun Chen
As high-speed big-data communications impose new requirements on storage latency, low-density parity-check (LDPC) codes have become a widely used technology in flash-memory channels. However, the iterative LDPC decoding algorithm faces a high decoding latency problem due to its mechanism based on iterative message…
Seung-Jae Moon, Jung‐Hoon Kim, Junsoo Kim, Seongmin Hong + 13 more
'Junseo Cha' 'Minsu Kim' 'Sukbin Lim' 'Gyubin Choi' 'Dongjin Seo' 'Jong-Ho Kim' 'Hunjong Lee' 'Hyun Jun Park' 'Ryeowook Ko' 'Soongyu Choi' 'Jongse Park' 'Jinwon Lee' 'Joo-Young Kim'] Seungjae Moon1 , Jung-Hoon Kim2 , Junsoo Kim1 , Seongmin Hong1 , Junseo Cha1 , Minsu Kim2 , Sukbin Lim1 , Gyubin Choi1 , Dongjin Seo1 …
Ivan J. Santiago, Jing Peng, Curie Ahn, Burak Gür + 5 more
Laminar arrangement of neural connections is a fundamental feature of neural circuit organization. Identifying mechanisms that coordinate neural connections within correct layers is thus vital for understanding how neural circuits are assembled. In the medulla of the Drosophila visual system neurons form connections…
Laura López-Galdo, Simon Nougaret, Demian Battaglia, Bjørg Elisabeth Kilavik
Functional multiplexing is a signature of higher-order brain regions. Beyond single-unit mixed selectivity, the six-layered cortical microcircuit has been proposed as an optimal substrate for such parallel computations. Recurrent connections within and across layers allow cortical columns to retain incoming information…
Dmitry Ivanov, Aleksandr Chezhegov, Mikhail Kiselev, Andrey Grunin + 1 more
'Denis Larionov'] Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of…
Jun Igarashi, Hiroshi Yamaura, Tadashi Yamazaki
One of the grand challenges for computational neuroscience and high-performance computing is computer simulation of a human-scale whole brain model with spiking neurons and synaptic plasticity using supercomputers. To achieve such a simulation, the target network model must be partitioned onto a number of computational…
Authors not listed
Mid-infrared (mid-IR) electrochromism is a promising technology that enables new ways to control radiative heat, which is particularly crucial for applications such as building thermoregulation efficiency, industrial process efficiency, spacecraft thermal engineering, and personal heat management. However, most mid-IR…
Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii + 1 more
'Martin C. Herbordt'] Background Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks are required to perform calculations within the strict…
János Végh
—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 introduced supervisor layer coordinates the job of the cores. The cores have the…
János Végh
—The computing paradigm invented for processing a small amount of data on a single segregated processor cannot meet the challenges set by the present-day computing demands. The paper proposes a new computing paradigm (extending the old one to use several processors explicitly) and discusses some questions of its…
Alain Denzler, Rahul Bera, Nastaran Hajinazar, Gagandeep Singh + 3 more
'Geraldo F. Oliveira' 'Juan Gómez-Luna' 'Onur Mutlu'] Stencil computations are commonly used in a wide variety of scientific applications, ranging from large-scale weather prediction to solving partial differential equations. Stencil computations are characterized by three properties: (1) low arithmetic intensity, (2)…
Zhen Zhang, Cheng Ma, Rong Zhu
Artificial Neural Networks (ANNs), including Deep Neural Networks (DNNs), have become the state-of-the-art methods in machine learning and achieved amazing success in speech recognition, visual object recognition, and many other domains. There are several hardware platforms for developing accelerated implementation of…
Raja Appuswamy, Jacques Fellay, Nimisha Chaturvedi
Rapid advances in sequencing technologies are producing genomic data on an unprecedented scale. The first, and often one of the most time consuming, step of genomic data analysis is sequence alignment, where sequenced reads must be aligned to a reference genome. Several years of research on alignment algorithms has led…
Aaron Liu, Myeongyeon Lee, Rahul Venkatesh, Jessica Bonsu + 4 more
Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based…
Konstantin S. Solnushkin, Yuichi Tsujita
During the last 15 years, the supercomputing industry has been using mass-produced, off-the-shelf components to build cluster computers. Such components are not perfect for HPC purposes, but are cheap due to effect of scale in their production. The coming exa-scale era changes the landscape: exa-scale computers will…