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Benchmarking of Neuromorphic Hardware Systems
2020
Proceedings of the Neuro-inspired Computational Elements Workshop
With more and more neuromorphic hardware systems for the acceleration of spiking neural networks available in science and industry, there is a demand for platform comparison and performance estimation ...
CCS CONCEPTS • Hardware → Power and energy; • Computing methodologies → Neural networks. ...
In this approach, we take a user's perspective and use the same network description on every hardware platform (compare Figure 1 ). ...
doi:10.1145/3381755.3381772
dblp:conf/nice/OstrauKT020
fatcat:zs5jip3e5jejlczvxib3pe7hd4
On the impact of dynamic data management for distributed local memories in heterogeneous MPSoCs
2013
2013 International Symposium on System on Chip (SoC)
Furthermore, the available on-chip memory is not efficiently utilized according to the application requirements. ...
Hence data locality and system performance is improved. This strategy leads to a dramatic reduction in the number of accesses to the external memory for data-intensive applications. ...
Furthermore, we would like to thank Synopsys, Tensilica and Xilinx for sponsoring Software, IPs and prototyping FPGAs. ...
doi:10.1109/issoc.2013.6675267
dblp:conf/issoc/NoethenAF13
fatcat:yzyxudg2tra6lpfigirjnm42w4
High-Performance Embedded Architecture and Compilation Roadmap
[chapter]
2007
Lecture Notes in Computer Science
One of the key deliverables of the EU HiPEAC FP6 Network of Excellence is a roadmap on high-performance embedded architecture and compilation -the HiPEAC Roadmap for short. ...
(vi) runtime systems, (vii) benchmarking, (viii) simulation and system modeling, (ix) reconfigurable computing, and (x) real-time systems. ...
network-on-chip (NoC) technologies. ...
doi:10.1007/978-3-540-71528-3_2
fatcat:ywmebvj7wrfb3ojghsjs4w3fy4
Developing architectural platforms: a disciplined approach
2002
IEEE Design & Test of Computers
On-chip communication modeling Communication architecture design in Teepee is based on the network-on-a-chip paradigm. 11 Teepee's multiprocessor view portrays the system architecture at the coarsest ...
Architects construct network topologies using an extendable library of network-on-a-chip components. ...
doi:10.1109/mdt.2002.1047739
fatcat:3od3meg5gbaabdlflfycfb2cy4
Towards Open Network-on-Chip Benchmarks
2007
First International Symposium on Networks-on-Chip (NOCS'07)
This document outlines the top-level view on a system of benchmarks for Networks on Chip (NoC), which intends to cover a wide spectrum of NoC design aspects, from application modeling to performance evaluation ...
For performance benchmarking, requirements and features are described for application programs, synthetic micro-benchmarks, and abstract benchmark applications. ...
Acknowledgements The authors would like to thank OCP-IP for its continued support and contribution. ...
doi:10.1109/nocs.2007.44
dblp:conf/nocs/GrecuIPJSOM07
fatcat:a3kxtrpoxfg6vosazwbxshznge
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
2011
Biological cybernetics
The integration of these components into one hardware-software workflow provides an ecosystem for ongoing preparative studies that support the hardware design process and represents the basis for the maturity ...
integration of the hardware interface into the simulator-independent model description language PyNN; a fully automated translation between the PyNN domain and appropriate hardware configurations; an executable ...
hand and the usability and spectrum of possible applications for modelers without a hardware background on the other. ...
doi:10.1007/s00422-011-0435-9
pmid:21618053
fatcat:qeziz4fw4zgk5eqnohmgunuyqy
Exploration of Distributed Shared Memory Architectures for NoC-based Multiprocessors
2006
2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation
Multiprocessor system-on-chip (MP-SoC) platforms represent an emerging trend for embedded multimedia applications. ...
Experimental results show the impact of different NoC topologies and distributed shared memory configurations for a selected set of parallel benchmark applications from the power/performance perspective ...
For this purpose, a distributed shared memory architecture has been proposed, that is suitable for low-power on-chip multiprocessors and supported by an on-chip hardware MMU. ...
doi:10.1109/icsamos.2006.300821
dblp:conf/samos/MonchieroPSV06
fatcat:cu6537637na4vgk3bfthdjxuoe
Simulation of a digital neuro-chip for spiking neural networks
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
We present the hardware structure of the NeuroPipe-Chip, which is modelled on register-transfer-level (RTL) using the hardware description language VHDL. ...
For a simple SNN for image segmentation, the NeuroPipe-Chip operating at 100MHz shows an improvement of more than two orders of magnitude compared to an Alpha 500MHz workstation and approaches real-time ...
In the process of designing the NeuroPipe-Chip, we realized a RTL-Model of the chip in the hardware description language VHDL. ...
doi:10.1109/ijcnn.2000.860819
dblp:conf/ijcnn/SchoenauerAMK00
fatcat:sazbac72oncspeu2j5cdkz5c3a
WASHINGTON STATE UNIVERSITY
1968
Anthropology News
This document outlines the top-level view on a system of benchmarks for Networks on Chip (NoC), which intends to cover a wide spectrum of NoC design aspects, from application modeling to performance evaluation ...
For performance benchmarking, requirements and features are described for application programs, synthetic micro-benchmarks, and abstract benchmark applications. ...
Acknowledgements The authors would like to thank OCP-IP for its continued support and contribution. ...
doi:10.1111/an.1968.9.2.5.1
fatcat:x3stlwwlsjgcheeirzuk4clxoe
WASHINGTON STATE UNIVERSITY
1968
Anthropology News
This document outlines the top-level view on a system of benchmarks for Networks on Chip (NoC), which intends to cover a wide spectrum of NoC design aspects, from application modeling to performance evaluation ...
For performance benchmarking, requirements and features are described for application programs, synthetic micro-benchmarks, and abstract benchmark applications. ...
Acknowledgements The authors would like to thank OCP-IP for its continued support and contribution. ...
doi:10.1111/an.1968.9.3.9.1
fatcat:a3yjy2jdk5ecfeq5zdruh6luqm
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
[article]
2022
arXiv
pre-print
There is increasing demand for specialized hardware for training deep neural networks, both in edge/IoT environments and in high-performance computing systems. ...
The model evaluates at the whole network level, considering both inter-layer and intra-layer activities. ...
Task Description The task description used in our paper is a simplified TensorFlow-like description, which consists of the network parameters and network model, so it should be easy for Tensor-Flow users ...
arXiv:2105.08239v3
fatcat:ullymz35ibgl5df6mjteudyhoy
NeuroPipe-Chip: A digital neuro-processor for spiking neural networks
2002
IEEE Transactions on Neural Networks
We present the hardware structure of the prototype and evaluate its performance in a system simulation based on a hardware description language (HDL). ...
Computing complex spiking artificial neural networks (SANNs) on conventional hardware platforms is far from reaching real-time requirements. ...
Voss during chip testing. ...
doi:10.1109/72.977304
pmid:18244419
fatcat:gvrygs5t5fhznbur3zmpdct3ry
Exploration of distributed shared memory architectures for NoC-based multiprocessors
2007
Journal of systems architecture
Multiprocessor system-on-chip (MP-SoC) platforms represent an emerging trend for embedded multimedia applications. ...
Experimental results show the impact of different NoC topologies and distributed shared memory configurations for a selected set of parallel benchmark applications from the power/performance perspective ...
For this purpose, a distributed shared memory architecture has been proposed, that is suitable for low-power on-chip multiprocessors and supported by an on-chip hardware MMU. ...
doi:10.1016/j.sysarc.2007.01.008
fatcat:6jjvd42x2vetdmai3ftipxlg5e
Machine Learning Application Benchmark for Satellite On-Board Data Processing
2021
Zenodo
The challenge of implementing such ML applications lies mainly on three points: 1) There are limited processing capabilities on spacecraft hardware, meaning that algorithms need to be optimized for their ...
In this work, we specifically focus on the description of this benchmark as the main part of MLAB project, and discuss initial findings and directions with respect to the datasets and tools. ...
ACKNOWLEDGEMENTS The authors would like to acknowledge the support and guidance provided by the ESA technical officer Gianluca Furano under the scope of the MLAB contract. ...
doi:10.5281/zenodo.5520876
fatcat:uumnhdvibff6vgoo4vxipheoxu
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware
2016
2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)
We describe a hybrid area estimation technique which uses template-level models and design-level artificial neural networks to account for effects from hardware place-and-route tools, including routing ...
Our runtime estimation accounts for off-chip memory accesses. ...
ACKNOWLEDGMENTS The authors thank Maxeler Technologies for their assistance with this paper, and the reviewers for their suggestions. ...
doi:10.1109/isca.2016.20
dblp:conf/isca/KoeplingerPZDKO16
fatcat:wxo2ezckinb37lgkyek2lt4c2q
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