Browsing by Author "Ozturk, Ozcan"

Now showing 1 - 4 of 4

Open Access
Architecture for safety–critical transportation systems
(Elsevier B.V., 2023-03-15) Ahangari, Hamzeh; Özkök, Yusuf İbrahim; Yıldırım, Asil; Say, Fatih; Atık, Funda; Ozturk, Ozcan
In many industrial systems, including transportation, fault tolerance is a key requirement. Usually, faulttolerance is achieved by redundancy, where replication of critical components is used. In the case oftransportation computing systems, this redundancy starts with the processing element. In this paper, we useMarkov models to assess the level of safety with different redundancy techniques used in the literature. Morespecifically, we give implementation details for various architecture options and evaluate one out of two (1oo2)and two out of three (2oo3) implementations. We observe that both 1oo2 and 2oo3 can reduce the averageprobability of failure per hour (PFH) down to 10−7 which provides Level-3 (SIL3) safety according to thestandards.
Open Access
Scheduling for heterogeneous systems in accelerator-rich environments
(Springer, 2021-05-25) Yesil, S.; Ozturk, Ozcan
The world is creating ever more data and the applications are required to deal with ever-increasing datasets. To process such datasets heterogeneous and manycore accelerators are being deployed in various computing systems to improve energy efficiency. In this work, we present a runtime management system designed for such heterogeneous systems with manycore accelerators. More specifically, we design a resource-based runtime management system that considers application characteristics and respective execution properties on the nodes and accelerators. We propose scheduling heuristics and run time environment solutions to achieve better throughput and reduced energy in computing systems with different accelerators. We give implementation details about our framework; show different scheduling algorithms, and present experimental evaluation of our system. We also compare our approaches with an optimal scheme where integer linear programming approach has been implemented for mapping applications on the heterogeneous system. While it is possible to extend the proposed framework to a wide variety of accelerators, our initial focus is on Graphics Processing Units (GPUs). Our experimental evaluations show that including accelerator support in the management framework improves energy consumption and execution time significantly. We believe that this approach has the potential to provide an effective solution for next generation accelerator-based computing systems.
Open Access
Shared scratch pad memory space management across applications
(Inderscience Publishers, 2009) Ozturk, Ozcan; Kandemir, M.; Son, S. W.; Kolcu, I.
Scratch Pad Memories (SPMs) have received considerable attention lately as on-chip memory building blocks. The main characteristic that distinguishes an SPM from a conventional cache memory is that the data flow is controlled by software. The main focus of this paper is the management of an SPM space shared by multiple applications that can potentially share data. The proposed approach has three major components; a compiler analysis phase, a runtime space partitioner, and a local partitioning phase. Our experimental results show that the proposed approach leads to minimum completion time among all alternate memory partitioning schemes tested.
Open Access
Special issue on recent advances in autonomous vehicle solutions in the digital continuum
(Springer, 2022-01-11) Ozturk, Ozcan; Pllana, Sabrib; Niar, Smaïlc; Maghraoui, Kaoutar El