Space Compression Algorithms Acceleration on Embedded Multi-core and GPU Platforms

被引：1
作者：
Jover-Alvarez A. [1 ]
Rodriguez I. [1 ]
Kosmidis L. [1 ]
Steenari D. [2 ]
机构：
[1] Barcelona Supercomputing Center (BSC), Universitat Politecnica de Catalunya (UPC)
来源：
Ada User Journal | 2022年 / 43卷 / 02期
关键词：
embedded GPUs; multi-core; space compres-sion;
D O I：
10.1145/3577949.3577969
中图分类号：
学科分类号：
摘要：
Future space missions will require increased on-board computing power to process and compress massive amounts of data. Consequently, embedded multi-core and GPU platforms are considered, which have been shown beneficial for data processing. However, the acceleration of data compression-an inherently se-quential task-has not been explored. In this on-going research paper, we parallelize two space compression standards on both CPUs and GPUs using two candidate embedded GPU platforms for space showing that despite the challenging nature of CCSDS algorithms, their parallelization is possible and can provide significant performance benefits. © 2022, Ada-Europe. All rights reserved.
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页码：129 / 132
页数：3
相关论文
共 14 条
  • [1] Kosmidis L., Rodriguez-Ferrandez I., Jover-Alvarez A., Alcaide S., Lachaize J., Notebaert A.C.O., Steenari D., GPU4S: Major Project Outcomes, Lessons Learnt and Way Forward, in Design, Automation and Test in Europe Conference and Exhibition, (DATE), (2021)
  • [2] Kosmidis L., Rodriguez I., Jover A., Alcaide S., Lachaize J., Abella J., Notebaert O., Cazorla F.J., Steenari D., GPU4S: Embedded GPUs in Space-Lat-est Project Updates, Elsevier Microprocessors and Mi-Crosystems, 77, (2020)
  • [3] The Consultative Committee for Space Data Systems, CCSDS 121.0-B-3, Lossless Data Compression, CCSDS Blue Book, (2020)
  • [4] The Consultative Committee for Space Data Systems, CCSDS 122.0-B-2, Image Data Compression, CCSDS Blue Book, (2017)
  • [5] Obpmark (On-Board Processing Benchmarks), (2021)
  • [6] Sebastian, “Commercial Off-The-Shelf GPU Qualification for Space Applications,” Tech. Rep., (2018)
  • [7] Kosmidis L., Lachaize J., Abella J., Notebaert O., Cazorla F.J., Steenari D., GPU4S: Embedded GPUs in Space, 2019 22Nd Euromicro Conference on Digital System Design (DSD), pp. 399-405, (2019)
  • [8] Li M.N., Xiao M.A., Yu M.M., Zhang J.-Q., Dong W., Application of GPU On-Orbit and Self-Adaptive Scheduling by Its Internal Ther-Mal Sensor, in International Astronautical Congress (IAC), (2018)
  • [9] Bruhn F.C., Tsog N., Kunkel F., Flordal O., Troxel I., Enabling Radiation Tolerant Heterogeneous GPU-based Onboard Data Processing in Space, CEAS Space Journal, 12, pp. 551-564, (2020)
  • [10] Luchena D., Schiattarella V., Spiller D., Moriani M., Curti F., A New Complementary Multi-Core Data Processor for Space Applications, 10, (2018)
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