The SO Seminar is a usually monthly event developed in the period from September to July and organised with the support of FIB-Barcelona School of Informatics, UPC BarcelonaTech.

Enviaments recents

  • Performance matters 

    Berger, Emery (2017-09-10)
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    Performance clearly matters to users. The most common software update on the AppStore *by far* is "Bug fixes and performance enhancements." Now that Moore's Law Free Lunch has ended, programmers have to work hard to get ...
  • A memory model for RISC-V 

    Arvind (2017-09-10)
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    Historically memory models for multiprocessors have not been designed deliberately but have just emerged. Practically every microarchitectural optimization, which is transparent in a single threaded setting, becomes ...
  • Machine learning for microarchitectural prediction 

    Jiménez, Daniel A. (2017-09-10)
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    Cache replacement and branch prediction are two important microarchitectural prediction techniques for improving performance. We propose a data-driven approach to designing microarchitectural predictors. Through simulation, ...
  • Tomorrow’s memory systems, 2017 edition 

    Jacob, Bruce (2017-09-10)
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    I will discuss technologies our group helped develop, including Micron’s Hybrid Memory Cube, flash-based main memories, and high-bandwidth/high-capacity memory; I will discuss the impact these will have on applications and ...
  • Instruction sets want to be free 

    Asanović, Krste (2017-09-10)
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    The most important interface in a computer system is the instruction set architecture (ISA) as it connects software to hardware. So, given the prevalence of open standards for almost all other important interfaces, why ...
  • Processor paradigms: evolution or disruption 

    Patt, Yale (2017-09-10)
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    At HPCA in February, a workshop titled Pioneering Processor Paradigms was held (first one), focused on taking a look at key paradigms of the past to see what we could learn from them. They asked me to give the keynote. ...
  • Artificial intelligence and big data management: the dynamic duo for moving forward data centric sciences 

    Vargas Solar, Genoveva (2017-09-10)
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    After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and academia have reached an objective understanding about data properties (volume, velocity, variety, veracity and value), ...
  • Large-scale graph processing and applications 

    Zengxiang Li, Shawn (2017-09-10)
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    In the Big Data era, graph processing has been widely used to represent complex system structure, capture data dependency and uncover relationship insights. Due to the ever-growing graph scale and algorithm complexity, ...
  • Big data applications on flash storage with accelerators 

    Arvind (2017-09-10)
    Accés obert
    Fast content-based searches and complex analytics of the vast amount of data collected via social media, cell phones, ubiquitous smart sensors, and satellites is likely to be the biggest economic driver for the IT industry ...
  • Resilience design patterns: a structured approach to resilience at extreme scale 

    Hukerikar, Saurabh (2017-09-10)
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    Accés obert
    Reliability is a serious concern for future extreme-scale high-performance computing (HPC) systems. Projections based on the current generation of HPC systems and technology roadmaps suggest the prevalence of very high ...

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