Now showing items 1-7 of 7

  • Contention-aware application performance prediction for disaggregated memory systems 

    Vieira Zacarias, Felippe; Nishtala, Rajiv; Carpenter, Paul Matthew (Association for Computing Machinery (ACM), 2020)
    Conference report
    Open Access
    Disaggregated memory has recently been proposed as a way to allow flexible and fine-grained allocation of memory capacity to compute jobs. This paper makes an important step towards effective resource allocation on ...
  • Continuous-action reinforcement learning for memory allocation in virtualized servers 

    Garrido Platero, Luis Ángel; Nishtala, Rajiv; Carpenter, Paul Matthew (Springer, 2019)
    Conference report
    Open Access
    In a virtualized computing server (node) with multiple Virtual Machines (VMs), it is necessary to dynamically allocate memory among the VMs. In many cases, this is done only considering the memory demand of each VM without ...
  • DRAM errors in the field: a statistical approach 

    Živanovič, Darko; Esmaili Dokht, Pouya; Moré, Sergi; Bartolomé, Javier; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    This paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
  • HPC benchmarking: scaling right and looking beyond the average 

    Radulovic, Milan; Asifuzzaman, Kazi; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Springer, 2018)
    Conference report
    Open Access
    Designing a balanced HPC system requires an understanding of the dominant performance bottlenecks. There is as yet no well established methodology for a unified evaluation of HPC systems and workloads that quantifies the ...
  • LEGaTO: Low-energy, secure, and resilient toolset for heterogeneous computing 

    Salami, Behzad; Parasyris, Konstantinos; Cristal Kestelman, Adrián; Unsal, Osman Sabri; Martorell Bofill, Xavier; Carpenter, Paul Matthew; De la Cruz Martínez, Raul; Bautista Gomez, Leonardo Arturo; Jiménez González, Daniel; Álvarez Martínez, Carlos; Nabavilarimi, Seyed Saber; Madonar Soria, Sergi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of ...
  • PROFET: modeling system performance and energy without simulating the CPU 

    Radulovic, Milan; Sánchez-Verdejo, Rommel; Carpenter, Paul Matthew; Radojkovic, Petar; Jacob, Bruce; Ayguadé Parra, Eduard (2019-06)
    Article
    Open Access
    The approaching end of DRAM scaling and expansion of emerging memory technologies is motivating a lot of research in future memory systems. Novel memory systems are typically explored by hardware simulators that are slow ...
  • The hipster approach for improving cloud system efficiency 

    Nishtala, Rajiv; Carpenter, Paul Matthew; Petrucci, Vinicius; Martorell Bofill, Xavier (2017-12-29)
    Article
    Restricted access - publisher's policy
    In 2013, U.S. data centers accounted for 2.2% of the country’s total electricity consumption, a figure that is projected to increase rapidly over the next decade. Many important data center workloads in cloud computing are ...