CHIADO: compilation of high-level computationally intensive algorithms to dynamically reconfigurable computing systems

2005 ◽  
Author(s):  
Joao M. P. Cardoso
Keyword(s):  
Reconfigurable Computing ◽  
Computing Systems ◽  
Dynamically Reconfigurable ◽  
Computationally Intensive ◽  
High Level

Dynamically Reconfigurable Computing for Wireless Communication Systems (Dynamisch rekonfigurierbares Rechnen für Mobilfunksysteme)

2007 ◽  
Vol 49 (3) ◽  
Author(s):  
Heiko Hinkelmann ◽  
Peter Zipf ◽  
Manfred Glesner ◽  
Thilo Pionteck
Keyword(s):  
Wireless Communication ◽  
Reconfigurable Computing ◽  
Energy Efficient ◽  
Communication Systems ◽  
High Performance ◽  
Wireless Communication Systems ◽  
Computing Systems ◽  
Dynamically Reconfigurable ◽  
Hardware Platforms ◽  
Application Specific

In this paper we will demonstrate that dynamically reconfigurable computing is the key technology to enable small and energy-efficient hardware platforms for wireless communication systems, which provide the flexibility needed for keeping up with evolving standards and protocols. Two application-specific dynamically reconfigurable systems for WLANs and wireless sensor networks will be presented. The first architecture clearly shows that highly dynamic reconfiguration approaches can provide flexible and high-performance hardware platforms that are smaller than standard ASIC solutions. The second architecture serves as a case study for the design of energy-efficient dynamically reconfigurable computing systems.

scholarly journals Development of the reconfiguration acceleration method in the dynamically reconfigurable computing systems

2015 ◽  
Vol 4 (4(76)) ◽  
pp. 25
Author(s):  
Юрій Олексійович Кулаков ◽  
Ірина Анатоліївна Клименко ◽  
Мирослав Валентинович Рудницький
Keyword(s):  
Reconfigurable Computing ◽  
Computing Systems ◽  
Dynamically Reconfigurable ◽  
Acceleration Method

scholarly journals Enhanced Round-Robin Algorithm in the Cloud Computing Environment for Optimal Task Scheduling

Computers ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 63
Author(s):  
Fahd Alhaidari ◽  
Taghreed Zayed Balharith
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Critical Role ◽  
Turnaround Time ◽  
Round Robin ◽  
Computing Systems ◽  
Time Quantum ◽  
Dynamic Time ◽  
High Level ◽  
Level Performance

Recently, there has been significant growth in the popularity of cloud computing systems. One of the main issues in building cloud computing systems is task scheduling. It plays a critical role in achieving high-level performance and outstanding throughput by having the greatest benefit from the resources. Therefore, enhancing task scheduling algorithms will enhance the QoS, thus leading to more sustainability of cloud computing systems. This paper introduces a novel technique called the dynamic round-robin heuristic algorithm (DRRHA) by utilizing the round-robin algorithm and tuning its time quantum in a dynamic manner based on the mean of the time quantum. Moreover, we applied the remaining burst time of the task as a factor to decide the continuity of executing the task during the current round. The experimental results obtained using the CloudSim Plus tool showed that the DRRHA significantly outperformed the competition in terms of the average waiting time, turnaround time, and response time compared with several studied algorithms, including IRRVQ, dynamic time slice round-robin, improved RR, and SRDQ algorithms.

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