Now showing items 1-11 of 11

  • 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 Access
    Extracting 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 ...
  • A Demo of FPGA Aggressive Voltage Downscaling: Power and Reliability Tradeoffs 

    Salami, Behzad; Unsal, Osman; Cristal Kestelman, Adrián (IEEE, 2018-12-06)
    Conference lecture
    Open Access
    The power consumption of digital circuits, e.g., Field Programmable Gate Arrays (FPGAs), is directly related to their operating supply voltages. On the other hand, usually, chip vendors introduce a conservative voltage ...
  • Aggressive undervolting of FPGAs : power & reliability trade-offs 

    Salami, Behzad (Universitat Politècnica de Catalunya, 2018-11-19)
    Doctoral thesis
    Open Access
    In this work, we evaluate aggressive undervolting, i.e., voltage underscaling below the nominal level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs). Usually, voltage guardbands are added by ...
  • AxleDB: A novel programmable query processing platform on FPGA 

    Salami, Behzad; Malazgirt, Gorker Alp; Arcas-Abella, Oriol; Yurdakul, Arda; Sonmez, Nehir (Elsevier, 2017-06-01)
    Article
    Open Access
    With the rise of Big Data, providing high-performance query processing capabilities through the acceleration of the database analytic has gained significant attention. Leveraging Field Programmable Gate Array (FPGA) ...
  • Comprehensive Evaluation of Supply Voltage Underscaling in FPGA on-Chip Memories 

    Salami, Behzad; Unsal, Osman S.; Cristal Kestelman, Adrián (IEEE, 2018-12-13)
    Conference lecture
    Open Access
    In this work, we evaluate aggressive undervolting, i.e., voltage scaling below the nominal level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs). Usually, voltage guardbands are added by chip ...
  • Fault Characterization Through FPGA Undervolting 

    Salami, Behzad; Unsal, Osman S.; Cristal Kestelman, Adrián (IEEE, 2018-12-06)
    Conference lecture
    Open Access
    The power and energy efficiency of Field Programmable Gate Arrays (FPGAs) are estimated to be up to 20X less than Application Specific Integrated Circuits (ASICs). What is needed to close this gap is aggressive power/energy ...
  • HATCH: Hash Table Caching in Hardware for Efficient Relational Join on FPGA 

    Salami, Behzad; Arcas-Abella, Oriol; Sönmez, Nehir (Institute of Electrical and Electronics Engineers (IEEE), 2015-05)
    Conference report
    Open Access
    In this paper we present HATCH, a novel hash join engine. We follow a new design point which enables us to effectively cache the hash table entries in fast BRAM resources, meanwhile supporting collision resolution in ...
  • LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing 

    Cristal, Adrian; Unsal, Osman S.; Martorell, Xavier; Carpenter, Paul; de la Cruz, Raul; Bautista, Leonardo; Jimenez, Daniel; Alvarez, Carlos; Salami, Behzad; Madonar, Sergi; Pericàs, Miquel; Trancoso, Pedro; vor dem Berge, Micha; Billung-Meyer, Gunnar; Krupop, Stefan; Christmann, Wolfgang; Klawonn, Frank; Mihklafi, Amani; Becker, Tobias; Gaydadjiev, Georgi; Salomonsson, Hans; Dubhashi, Devdatt; Port, Oron; Hadar, Elad; Etsion, Yoav; Fetzer, Christof; Hagemeyer, Jens; Jungeblut, Thorsten; Kucza, Nils; Kaiser, Martin; Porrmann, Mario; Pasin, Marcelo; Schiavoni, Valerio; Rocha, Isabelly; Göttel, Christian; Felber, Pascal (ACM, 2018-07-15)
    Conference lecture
    Open Access
    LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of ...
  • LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing 

    Cristal Kestelman, Adrián; Unsal, Osman S.; Martorell, Xavier; Carpenter, Paul; de la Cruz, Raul; Bautista, Leonardo; Jimenez, Daniel; Alvarez, Carlos; Salami, Behzad; Madonar, Sergi; Pericàs, Miquel; Trancoso, Pedro; von dem Berge, Micha; Billung-Meyer, Gunnar; Krupop, Stefan; Christmann, Wolfgang; Klawonn, Frank; Mihklafi, Amani; Becker, Tobias; Gaydadjiev, Georgi; Salomonsson, Hans; Dubhashi, Devdatt; Port, Oron; Etsion, Yoav; Nowack, Vesna; Fetzer, Christof; Hagemeyer, Jens; Jungeblut, Thorsten; Kucza, Nils; Kaiser, Martin; Porrmann, Mario; Pasin, Marcelo; Schiavoni, Valerio; Rocha, Isabelly; Göttel, Christian; Felber, Pascal (Association for Computing Machinery (ACM), 2018-05-08)
    Conference lecture
    Open Access
    LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of ...
  • 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
  • On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation 

    Salami, Behzad; Unsal, Osman S.; Cristal Kestelman, Adrián (IEEE, 2019-02-21)
    Conference lecture
    Open Access
    Machine Learning (ML) is making a strong resurgence in tune with the massive generation of unstructured data which in turn requires massive computational resources. Due to the inherently compute and power-intensive structure ...