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Sardar Anisul Haque, Mohammad Tanvir Parvez and Shahadat Hossain
Matrix?matrix multiplication is of singular importance in linear algebra operations with a multitude of applications in scientific and engineering computing. Data structures for storing matrix elements are designed to minimize overhead information as wel...
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Jinnan Wang, Weiqin Tong and Xiaoli Zhi
Convolutional neural networks (CNNs) have made impressive achievements in image classification and object detection. For hardware with limited resources, it is not easy to achieve CNN inference with a large number of parameters without external storage. ...
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Yang Wang, Jie Liu, Xiaoxiong Zhu, Qingyang Zhang, Shengguo Li and Qinglin Wang
Structured grid-based sparse matrix-vector multiplication and Gauss?Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited. GPDSP is a general purpose dig...
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Xuerui Zheng, Jiping Jin, Yajun Wang, Min Yuan and Sheng Qiang
With the development of engineering technology, engineering has higher requirements for the accuracy and the scale of simulation calculation. The computational efficiency of traditional serial programs cannot meet the requirements of engineering. Therefo...
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Siva Satyendra Sahoo, Behnaz Ranjbar and Akash Kumar
With the advancement of technology scaling, multi/many-core platforms are getting more attention in embedded systems due to the ever-increasing performance requirements and power efficiency. This feature size scaling, along with architectural innovations...
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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia and Paolo Trunfio
Workflows are largely used to orchestrate complex sets of operations required to handle and process huge amounts of data. Parallel processing is often vital to reduce execution time when complex data-intensive workflows must be run efficiently, and at th...
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Abdelrahman Abuarqoub
Recent advances in information and communications cloud-based services hold the potential to overcome the scalability and complex maintenance limitations of traditional networks. Software Defined Networking (SDN) surfaced as a promising paradigm to mitig...
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Tomasz Galecki and Wiktor Bohdan Daszczuk
Despite the rapidly growing computing power of computers, it is often insufficient to perform mass calculations in a short time, for example, simulation of systems for various sets of parameters, the searching of huge state spaces, optimization using ant...
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Richard Graham,Gil Bloch,Devendar Bureddy,Gilad Shainer,Brian Smith
Pág. 4 - 16
Increased system size and a greater reliance on utilizing system parallelism to achieve computational needs, requires innovative system architectures to meet the simulation challenges. The SHARP technology is a step towards a data-centric architecture, w...
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