Filters








1,881 Hits in 7.3 sec

Buri

Jishen Zhao, Sheng Li, Jichuan Chang, John L. Byrne, Laura L. Ramirez, Kevin Lim, Yuan Xie, Paolo Faraboschi
2015 ACM Transactions on Architecture and Code Optimization (TACO)  
Motivated by the challenges of scaling up memory capacity and fully exploiting the benefits of memory compression, we propose Buri, a hardware-based memory compression scheme, which simultaneously achieves  ...  Our evaluation with large memory workload traces shows that Buri can increase capacity by 70%, in addition to the compression ratio already provided by database software.  ...  In a broader context, Buri fits with recent proposals on big data [Basu et al. 2013; Lim et al. 2013 ] by scaling the memory capacity wall without expensive support from the compute and communication  ... 
doi:10.1145/2808233 fatcat:jfgtkbebgbhjrmwuskyowlzbwi

Robotics And Embedded Systems Applied To The Buried Pipeline Inspection

Robson C. Santos, Julio C. P. Ribeiro, Iorran M. De Castro, Luan C. F. Rodrigues, Sandro R. L. Silva, Diego M. Quesada
2015 Zenodo  
This type of prototype can prevent and identifies possible landslides and they can prevent the buried pipelines suffer an external pressure on the walls with the possibility of oil leakage and thus pollute  ...  Hardware prototyping is very similar to C / C ++ language that facilitates its use in robotics open source, resembles PLC used in large industrial processes.  ...  Therefore this sign passes before by current sensors (C1 and C2) to scale in the microcontroller parameters.  ... 
doi:10.5281/zenodo.1107752 fatcat:zgdijzzglvgmdgzyj3vog3mcwi

Report from the 4th Workshop on Extremely Large Databases

Jacek Becla, Kian-Tat Lim, Daniel Liwei Wang
2010 Data Science Journal  
New hardware developments have made big data computation more accessible though uncertain in some ways. Power is the biggest issue and one that will drive the future of hardware as well as analysis.  ...  Statistical analysis tools and techniques were reportedly insufficient for big, distributed data sets. First, statistical tools should be developed to scale efficiently to big data sizes.  ...  Computational statistics, like most computational applications, is still in transition to software that can scale and deal with the practicalities of big data.  ... 
doi:10.2481/dsj.xldb10 fatcat:hpc7afhbwjadvahngm7utw2i4a

Bioexcel Deliverable 1.3 - Roadmap Of Future Hardware And Long-Term Development Plan For Each Pilot Application

Rossen Apostolov, Mark Abraham, Erwin Laure, Erik Lindahl, Alexandre Bonvin, Bert de Groot, Emiliano Ippoliti
2017 Zenodo  
Upcoming extreme-scale compute platforms will offer great opportunities for tackling important, large-scale scientific questions.  ...  Future hardware development will have a significant impact on all areas of scientific computing including the Life Sciences.  ...  Processors With the end of Dennard-scaling increasing computational power in CPUs is achieved through exploiting explicit parallelism.  ... 
doi:10.5281/zenodo.574605 fatcat:tyevo2n3vbbeto4agkn7uouiiq

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

Andreas W. Götz, Mark J. Williamson, Dong Xu, Duncan Poole, Scott Le Grand, Ross C. Walker
2012 Journal of Chemical Theory and Computation  
but at significantly reduced computational cost.  ...  The numerical noise due to rounding errors within the SPSP precision model is sufficiently large to lead to an accumulation of errors which can result in unphysical trajectories for long time scale simulations  ...  Computer time was provided by the San Diego Supercomputer Center through National Science Foundation award TG-MCB090110 to R.C.W. and A.W.G.  ... 
doi:10.1021/ct200909j pmid:22582031 pmcid:PMC3348677 fatcat:inil3jsrifbxxcjp5u4v3vazpy

Multi-scale high order finite different reverse time migration imaging

Xiaodan Zhang, Lei Zhu, Hua Guo
2018 EURASIP Journal on Image and Video Processing  
The experimental results show that under the condition of the same simulation order, the multi-scale RTM imaging computational efficiency can be promoted by 25.05% average within this paper.  ...  The paper puts forward the concept of multi-scale grid for the underground medium based on finite difference time domain (FDTD) of reverse time migration (RTM), which can avoid the oversampling to high  ...  The contributions of the proposed work are mainly in two aspects: (1) to the best of our knowledge, our work is the first one to apply the multi-scale idea for RTM imaging based on FDTD.  ... 
doi:10.1186/s13640-018-0290-x fatcat:zijl2tgjzfemjjbp4atsgci3cu

Design and implementation of the AMIGA embedded system for data acquisition

Alexander Aab, Pedro Abreu, Marco Aglietta, Justin M. Albury, Ingomar Allekotte, Alejandro Almela, Jaime Alvarez-Muñiz, Rafael Alves Batista, Gioacchino Alex Anastasi, Luis Anchordoqui, Belén Andrada, Sofia Andringa (+377 others)
2021 Journal of Instrumentation 16(7)  
We also review the hardware structure of the buried electronics interconnected with the scintillator bars using optical fibers.  ...  In the following subsections we describe the hardware used with its specifications in terms of timing, resources and memory usage, the printed circuit board design and the interface with the SD and the  ... 
doi:10.18154/rwth-2021-09934 fatcat:6equy4ivcbadxknslquwyidfte

Design and implementation of the AMIGA embedded system for data acquisition

A. Aab, P. Abreu, M. Aglietta, J.M. Albury, I. Allekotte, A. Almela, J. Alvarez-Muñiz, R. Alves Batista, G.A. Anastasi, L. Anchordoqui, B. Andrada, S. Andringa (+373 others)
2021 Journal of Instrumentation  
We also review the hardware structure of the buried electronics interconnected with the scintillator bars using optical fibers.  ...  In the following subsections we describe the hardware used with its specifications in terms of timing, resources and memory usage, the printed circuit board design and the interface with the SD and the  ... 
doi:10.1088/1748-0221/16/07/t07008 fatcat:b7hogvtul5etdkeesjvm44jj2a

Design and implementation of the AMIGA embedded system for data acquisition [article]

The Pierre Auger Collaboration: A. Aab, P. Abreu, M. Aglietta, J.M. Albury, I. Allekotte, A. Almela, J. Alvarez-Muñiz, R. Alves Batista, G.A. Anastasi, L. Anchordoqui, B. Andrada, S. Andringa (+372 others)
2021 arXiv   pre-print
It consists of particle counters buried 2.3 m underground next to the water-Cherenkov stations that form the 23.5 km^2 large infilled array.  ...  At the depth of 2.3 m the electromagnetic component of cosmic ray showers is almost entirely absorbed so that the buried scintillators provide an independent and direct measurement of the air showers muon  ...  We also review the hardware structure of the buried electronics interconnected with the scintillator bars using optical fibers.  ... 
arXiv:2101.11747v2 fatcat:lgh7hm66znbethdzkwjcllko7a

Business Intelligence for Big Data Analytics

Tomas Ruzgas, Jurgita Dabulytė- Bagdonavičienė
2017 International Journal of Computer Applications Technology and Research  
The article also presents the technologies of fast calculation processing, including architecture of in-memory and grid computing.  ...  This article introduces methods and tools which are designed for analyzing Big Data.  ...  ., scaling up) to meet peakdemand computing loads is one solution, but it can be both costly and inefficient.  ... 
doi:10.7753/ijcatr0601.1001 fatcat:xb2kaigxhjb53jj62kzgiwte7u

Implementation of Leakage Power Reduction Techniques in Field Programmable Device

2019 International Journal of Engineering and Advanced Technology  
Current studies on power model as well as on low-power computer-aided design (CAD) are also information.  ...  The expanding use of convenient gadgets has turned into a main thrust in the structure of new computational components in exceptionally extensive scale mix (VLSI) frameworks on a chip.  ...  It is noticed that control utilization increments with the intersection temperature and the expansion in the voltage too.  ... 
doi:10.35940/ijeat.b3731.129219 fatcat:mmnsceszb5glfogdq2vms4pjge

Exploiting On-Device Image Classification for Energy Efficiency in Ambient-Aware Systems [chapter]

Mohammed Shoaib, Swagath Venkataramani, Xian-Sheng Hua, Jie Liu, Jin Li
2015 Mobile Cloud Visual Media Computing  
In this article, we show how to reduce energy in such systems by employing simple on-device computations.  ...  To lower the processing energy and sustain a high throughput, we propose a hierarchicallypipelined hardware architecture for the image classifier.  ...  We also assume that the power scales with the frame rate and resolution.  ... 
doi:10.1007/978-3-319-24702-1_7 fatcat:oftquf42cbftddqll5znh3jf64

COREnect D3.3. Initial COREnect industry roadmap [article]

AUSTRALO
2021 Zenodo  
., cloud and HPC, as well as severely constrained devices used in sensors and IoT applications, which is a wide range of the hardware and compute scale.  ...  (SiPs) that have efficient utilization of the memory hardware).  ...  Appendix The COREnect roadmap activities strongly rely on interactions with experts in the field.  ... 
doi:10.5281/zenodo.5075317 fatcat:ww7icphzfjcdjlxbsbo2qekghy

PRACE RESEARCH INFRASTRUCTURE OFFER FOR POLISH R & D COMMUNITY

MIROSŁAW KUPCZYK, MICHAŁ BIAŁOSKÓRSKI, RAFAŁ TYLMAN, KLEMENS NOGA, AGNIESZKA KWIECIEŃ, MARIUSZ UCHROŃSKI, NORBERT MEYER
2018 TASK Quarterly  
The paper presents the current state of the computational infrastructure, which is unique on the European level and procedures helping with the seamless access to the European HPC infrastructure: supercomputers  ...  Several Polish computational grants have been called in the paper in order to present examples of the Polish domestic scientific engagement.  ...  The computations were performed in PRACE-RI.  ... 
doi:10.17466/tq2018/22.4/f doaj:2f734c5d6812410aa4092926ec471ad5 fatcat:7pbnam4nh5dh5cz6yt7kbksiom

Program Schedule - October 8, 2019 (Hotel Metropolitan Sendai)

2019 2019 International 3D Systems Integration Conference (3DIC)  
Abstract: Today's computer systems rather have a big issue, which is what is called the memory bottleneck, especially as their scale has been growing with nanotechnology year by year toward EXAscale supercomputing  ...  Abstract: High bandwidth memory (HBM) is a new and an innovative solution satisfying with semiconductor industry trends representing as the era of big data and cloud computing.  ...  The case for 3D logic will be made based on a combination of technology push and cost-performance scaling pull.  ... 
doi:10.1109/3dic48104.2019.9058792 fatcat:6kz54ru5uzdbzeecpentkxprqe
« Previous Showing results 1 — 15 out of 1,881 results