Browsing by Author "Jiménez-González, Daniel"

Now showing items 1-7 of 7

    • Application acceleration on FPGAs with OmpSs@FPGA 

      Bosch, Jaume; Tan, Xubin; Filgueras Izquierdo, Antonio; Vidal, Miquel; Mateu, Marc; Jiménez-González, Daniel; Álvarez, Carlos; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      OmpSs@FPGA is the flavor of OmpSs that allows offloading application functionality to FPGAs. Similarly to OpenMP, it is based on compiler directives. While the OpenMP specification also includes support for heterogeneous ...

    • LightDock: a new multi-scale approach to protein–protein docking 

      Jiménez-García, Brian; Roel-Touris, Jorge; Romero-Durana, Miguel; Vidal, Miquel; Jiménez-González, Daniel; Fernández-Recio, Juan (Oxford University Press, 2017-09-04)
      Article
      Open Access
      Computational prediction of protein–protein complex structure by docking can provide structural and mechanistic insights for protein interactions of biomedical interest. However, current methods struggle with difficult ...

    • Modeling multi-board communication in the AXIOM cyber-physical system 

      Giorgi, Roberto; Mazumdar, Somnath; Viola, Stefano; Gai, Paolo; Garzarella, Stefano; Morelli, Bruno; Pnevmatikatos, Dionisis; Theodoropoulos, Dimitris; Alvarez, Carlos; Ayguadé Parra, Eduard; Bueno, Javier; Filgueras Izquierdo, Antonio; Jiménez-González, Daniel; Martorell Bofill, Xavier (2016-12-01)
      Article
      Restricted access - publisher's policy
      The main goal of the AXIOM project is to design a small board that could be used as a LEGOTM-style module to build systems with more performance while keeping the programming task simple by using a familiar shared-memory ...

    • Picos, a hardware task-dependence manager for task-based dataflow programming models 

      Tan, Xubin; Bosch, Jaume; Vidal, Miquel; Álvarez, Carlos; Jiménez-González, Daniel; Ayguadé Parra, Eduard; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      Task-based programming Task-based programming models such as OpenMP, Intel TBB and OmpSs are widely used to extract high level of parallelism of applications executed on multi-core and manycore platforms. These programming ...

    • Task scheduling sensitivity to L1 cache settings on an area-constrained 32-core RISC-V processor 

      Morais, Lucas; Jiménez-González, Daniel; Álvarez, Carlos (Barcelona Supercomputing Center, 2022-05)
      Conference report
      Open Access
      High-performance applications are highly sensitive to memory performance characteristics. While programs with comparatively low memory-to-computation ratio are less likely to be hampered by limited memory bandwidth, most ...

    • The AXIOM project (Agile, eXtensible, fast I/O Module) 

      Theodoropoulos, Dimitris; Pnevmatikatos, Dionisis; Alvarez, Carlos; Ayguadé Parra, Eduard; Bueno, Javier; Filgueras Izquierdo, Antonio; Jiménez-González, Daniel; Martorell Bofill, Xavier; Navarro, Nacho; Segura, Carlos; Fernandez, Carles; Oro, David; Rodriguez Saeta, Javier; Gai, Paolo; Rizzo, Antonio; Giorgi, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Restricted access - publisher's policy
      The AXIOM project (Agile, eXtensible, fast I/O Module) aims at researching new software/hardware architectures for the future Cyber-Physical Systems (CPSs). These systems are expected to react in real-time, provide enough ...

    • The secrets of the accelerators unveiled: tracing heterogeneous executions through OMPT 

      Llort, German; Filgueras Izquierdo, Antonio; Jiménez-González, Daniel; Servat, Harald; Teruel, Xavier; Mercadal, Estanislao; Álvarez, Carlos; Giménez, Judit; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Springer, 2016)
      Conference report
      Restricted access - publisher's policy
      Heterogeneous systems are an important trend in the future of supercomputers, yet they can be hard to program and developers still lack powerful tools to gain understanding about how well their accelerated codes perform ...