Publications by Stavros Volos | EPFL Graph Search

Fat Caches For Scale-Out Servers

Babak Falsafi, Boris Robert Grot, Stavros Volos, Dorde Jevdic

The authors propose a high-capacity cache architecture that leverages emerging high-bandwidth memory modules. High-capacity caches capture the secondary data working sets of scale-out workloads while uncovering significant spatiotemporal locality across da ...

Institute of Electrical and Electronics Engineers2017

Memory Systems and Interconnects for Scale-Out Servers

Stavros Volos

The information revolution of the last decade has been fueled by the digitization of almost all human activities through a wide range of Internet services. The backbone of this information age are scale-out datacenters that need to collect, store, and proc ...

EPFL2015

A Case for Specialized Processors for Scale-Out Workloads

Anastasia Ailamaki, Babak Falsafi, Mohammad Alisafaee, Michael Ferdman, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Adrian Daniel Popescu, Al Mutaz Adileh, Dorde Jevdic

Emerging scale-out workloads need extensive amounts of computational resources. However, datacenters using modern server hardware face physical constraints in space and power, limiting further expansion and requiring improvements in the computational densi ...

Ieee Computer Soc2014

BuMP: Bulk Memory Access Prediction and Streaming

Babak Falsafi, Boris Robert Grot, Stavros Volos, Javier Picorel Obando

With the end of Dennard scaling, server power has emerged as the limiting factor in the quest for more capable datacenters. Without the benefit of supply voltage scaling, it is essential to lower the energy per operation to improve server efficiency. As th ...

2014

Die-Stacked DRAM Caches for Servers: Hit Ratio, Latency, or Bandwidth? Have It All with Footprint Cache

Babak Falsafi, Stavros Volos, Dorde Jevdic

Recent research advocates using large die-stacked DRAM caches to break the memory bandwidth wall. Existing DRAM cache designs fall into one of two categories — block-based and page-based. The former organize data in conventional blocks (e.g., 64B), ensurin ...

ACM2013

CCNoC: Specializing On-Chip Interconnects for Energy Efficiency in Cache-Coherent Servers

Giovanni De Micheli, Babak Falsafi, Boris Robert Grot, Ciprian Seiculescu, Stavros Volos, Naser Khosro Pour

Manycore chips are emerging as the architecture of choice to provide power efficiency and improve performance, while riding Moore’s Law. In these architectures, on-chip interconnects play a pivotal role in ensuring power and performance scalability. As sup ...

2012

Clearing the Clouds: A Study of Emerging Scale-out Workloads on Modern Hardware

Anastasia Ailamaki, Babak Falsafi, Mohammad Alisafaee, Michael Ferdman, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Al Mutaz Adileh, Dorde Jevdic, Adrian Daniel Popescu

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

2012

Scale-Out Processors

Babak Falsafi, Michael Ferdman, Boris Robert Grot, Yusuf Onur Koçberber, Pejman Lotfi Kamran, Stavros Volos, Javier Picorel Obando, Al Mutaz Adileh, Dorde Jevdic

Scale-out datacenters mandate high per-server throughput to get the maximum benefit from the large TCO investment. Emerging applications (e.g., data serving and web search) that run in these datacenters operate on vast datasets that are not accommodated by ...

Ieee2012

Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman, Mohammad Alisafaee, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Adrian Daniel Popescu, Al Mutaz Adileh, Dorde Jevdic

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

Association for Computing Machinery2012