Browsing by Author "Unsal, Osman"
Now showing items 1-10 of 10
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Accelerating Hash-Based Query Processing Operations on FPGAs by a Hash Table Caching Technique
Salami, Behzad; Arcas-Abella, Oriol; Sonmez, Nehir; Unsal, Osman; Cristal Kestelman, Adrián (Springer International Publishing, 2017-04-29)
Conference lecture
Open AccessExtracting valuable information from the rapidly growing field of Big Data faces serious performance constraints, especially in the software-based database management systems (DBMS). In a query processing system, hash-based ... -
Approximating a Multi-Grid Solver
Le Fèvre, Valentin; Bautista-Gomez, Leonardo; Unsal, Osman; Casas, Marc (IEEE, 2019-02-14)
Conference lecture
Open AccessMulti-grid methods are numerical algorithms used in parallel and distributed processing. The main idea of multigrid solvers is to speedup the convergence of an iterative method by reducing the problem to a coarser grid a ... -
Leveraging FPGAs to accelerate the query processing of SQL-based databases
Salami, Behzad; Unsal, Osman; Cristal Kestelman, Adrián (Barcelona Supercomputing Center, 2017-05-04)
Conference report
Open Access -
Machine learning performance prediction model for heterogeneous systems
Nemirovsky, Daniel; Arkose, Tugberk; Unsal, Osman; Cristal Kestelman, Adrián; Valero Cortés, Mateo (Barcelona Supercomputing Center, 2017-05-04)
Conference report
Open Access -
NEMsCAM: A novel CAM cell based on nano-electro-mechanical switch and CMOS for energy efficient TLBs
Seyedi, Azam; Karakostas, Vasileios; Cosemans, Stefan; Cristal Kestelman, Adrián; Nemirovsky, Mario; Unsal, Osman (Institute of Electrical and Electronics Engineers (IEEE), 2015-07-10)
Conference report
Open AccessIn this paper we propose a novel Content Addressable Memory (CAM) cell, NEMsCAM, based on both Nano-electro-mechanical (NEM) switches and CMOS technologies. The memory component of the proposed CAM cell is designed with ... -
Performance Study of Non-volatile Memories on a High-End Supercomputer
Bautista-Gomez, Leonardo; Keller, Kai; Unsal, Osman (2019-01-25)
Part of book or chapter of book
Open AccessThe first exa-scale supercomputers are expected to be operational in China, USA, Japan and Europe within the early 2020’s. This allows scientists to execute applications at extreme scale with more than 1018 floating point ... -
POSTER: An Integrated Vector-Scalar Design on an In-order ARM Core
Stanic, Milan; Palomar, Oscar; Hayes, Timothy; Ratkovic, Ivan; Unsal, Osman; Cristal Kestelman, Adrián (ACM, 2016-09)
Conference lecture
Open AccessIn the low-end mobile processor market, power, energy and area budgets are significantly lower than in other markets (e.g. servers or high-end mobile markets). It has been shown that vector processors are a highly ... -
RETHINK big: European roadmap for hardware anc networking optimizations for big data
Alioto, Gina; Carpenter, Paul; Cristal Kestelman, Adrián; Unsal, Osman; Leich, Marcus; Avare, Christophe (Institute of Electrical and Electronics Engineers (IEEE), 2017-05-15)
Conference lecture
Open AccessThis paper discusses the results of the RETHINK big Project, a 2-year Collaborative Support Action funded by the European Commission in order to write the European Roadmap for Hardware and Networking optimizations for Big ... -
Towards Ad Hoc Recovery for Soft Errors
Losada, Nuria; Bautista-Gomez, Leonardo; Keller, Kai; Unsal, Osman (IEEE, 2018-12-06)
Conference lecture
Open AccessThe coming exascale era is a great opportunity for high performance computing (HPC) applications. However, high failure rates on these systems will hazard the successful completion of their execution. Bit-flip errors in ... -
Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer
Bautista-Gomez, Leonardo; Zyulkyarov, Ferad; Unsal, Osman; McIntosh-Smith, Simon (ACM, 2016-11-13)
Conference lecture
Open AccessSupercomputers offer new opportunities for scientific computing as they grow in size. However, their growth also poses new challenges. Resilience has been recognized as one of the most pressing issues to solve for extreme ...