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Träfflista för sökning "WFRF:(Soudris Dimitrios) srt2:(2020-2022)"

Sökning: WFRF:(Soudris Dimitrios) > (2020-2022)

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1.
  • Stathis, Dimitrios, 1989- (författare)
  • Synchoros VLSI Design Style
  • 2022
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Computers have become essential to everyday life as much as electricity, communications and transport. That is evident from the amount of electricity we spend to power our computing systems. According to some reports it is estimated to be ≈ 7% of the total consumption worldwide. This trend is very worrisome, and the development of computing systems with lower power consumption is essential. This is even more important for battery-powered computers deployed in the field. The industry and the scientific community have realised that general-purpose computing platforms cannot offer that level of computational efficiency and that customisation is the solution to this problem. Application-Specific Integrated Circuits (ASICs) provide the highest efficiency in the mainstream implementation styles. ASICs have been shown to provide 100 to 1000× better computational efficiency than general-purpose computing platforms. However, the design cost of ASICs restricts it to products that have a large volume or large profit. In essence, to achieve ASIC-like computational efficiency, the design efficiency becomes the bottleneck. SynchorosVLSI design has been proposed to non-incrementally lower the design cost of custom ASIC-like solutions. The synchoros VLSI design is a novel concept that can reduce the design cost of ASICs and their manufacturing. Insynchoros design, the space is discretised, and the final design emerges by the abutment of synchoros micro-architecture level design objects called SiLago(Silicon Lego) blocks. The SiLago framework has the potential to reduce the design cost of ASICs and their manufacturing. This thesis makes three research areas of contributions toward synchoros VLSI design. The first area concerns composition by abutment. In this contribution, a design has been proposed to show how a clock tree can be created by abutting fragments inside the SiLago blocks. Additionally, the clock tree created by abutment was validated by the EDA tools and its cost metrics compared to the functionally equivalent clock tree created by the conventional EDA flows. The second area is to enhance the micro-architectural framework. These contributions include SiLago blocks tailored for neural network computation and architectural enhancements to improve the efficiency of executing streaming applications in the SiLago framework. Furthermore, a novel genome recognition application based on a self-organising map (SOM) was also mapped to the SiLago framework. The third area of contribution is implementing a model of cortex as a tiled ASIC design using custom 3D DRAM vaults for synaptic storage. This work is preparatory work to identify the SiLago blocks needed to support the implementation of spiking neuromorphic structures and in general applications of ordinary differential equations.
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2.
  • Panagiotou, Sotirios, et al. (författare)
  • Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU
  • 2020
  • Ingår i: PROCEEDINGS OF THE 23RD INTERNATIONAL WORKSHOP ON SOFTWARE AND COMPILERS FOR EMBEDDED SYSTEMS (SCOPES 2020). - New York, NY, USA : ASSOC COMPUTING MACHINERY. - 9781450371315 ; , s. 74-77
  • Konferensbidrag (refereegranskat)abstract
    • The complexity of modern HPC systems requires the use of new tools that support advanced programming models and offer portability and programmability of parallel and heterogeneous architectures. In this work we evaluate the use of SkePU framework in an HPC application from the neural computing domain. We demonstrate the successful deployment of the application based on SkePU using multiple back-ends (OpenMP, OpenCL and MPI) and present lessons-learned towards future extensions of the SkePU framework.
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3.
  • Papadopoulos, Lazaros, et al. (författare)
  • EXA2PRO : A Framework for High Development Productivity on Heterogeneous Computing Systems
  • 2022
  • Ingår i: IEEE Transactions on Parallel and Distributed Systems. - : IEEE Computer Society. - 1045-9219 .- 1558-2183. ; 33:4, s. 792-804
  • Tidskriftsartikel (refereegranskat)abstract
    • Programming upcoming exascale computing systems is expected to be a major challenge. New programming models are required to improve programmability, by hiding the complexity of these systems from application developers. The EXA2PRO programming framework aims at improving developers productivity for applications that target heterogeneous computing systems. It is based on advanced programming models and abstractions that encapsulate low-level platform-specific optimizations and it is supported by a runtime that handles application deployment on heterogeneous nodes. It supports a wide variety of platforms and accelerators (CPU, GPU, FPGA-based Data-Flow Engines), allowing developers to efficiently exploit heterogeneous computing systems, thus enabling more HPC applications to reach exascale computing. The EXA2PRO framework was evaluated using four HPC applications from different domains. By applying the EXA2PRO framework, the applications were automatically deployed and evaluated on a variety of computing architectures, enabling developers to obtain performance results on accelerators, test scalability on MPI clusters and productively investigate the degree by which each application can efficiently use different types of hardware resources.
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