Publications by Dorde Jevdic | EPFL Graph Search

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

Damien Zufferey, Babak Falsafi, Sasa Misailovic, Eva Darulova, Dorde Jevdic, Alexandros Daglis, Mattia Cacciotti

When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, system software, and programming language compilers or their runtime systems can trade deviations from cor ...

ASSOC COMPUTING MACHINERY2020

Near-Memory Address Translation

Babak Falsafi, Dorde Jevdic, Javier Picorel Obando

Memory and logic integration on the same chip is becoming increasingly cost effective, creating the opportunity to offload data-intensive functionality to processing units placed inside memory chips. The introduction of memory-side processing units (MPUs) ...

Ieee2017

Fat Caches For Scale-Out Servers

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

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

Multi-Gigabyte On-Chip DRAM Caches for Servers

Dorde Jevdic

While DRAM latency has long been recognized as a major bottleneck in servers, DRAM bandwidth is emerging as an important bottleneck as server processors shift to many-core architectures to allow for sustainable throughput improvements. The rapid expansion ...

EPFL2015

A Case for Specialized Processors for Scale-Out Workloads

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

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

Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache

Babak Falsafi, Dorde Jevdic, Ilknur Cansu Kaynak

Recent research advocates large die-stacked DRAM caches in manycore servers to break the memory latency and bandwidth wall. To realize their full potential, die-stacked DRAM caches necessitate low lookup latencies, high hit rates and the efficient use of o ...

IEEE2014

From A to E: Analyzing TPC’s OLTP Benchmarks -- The obsolete, the ubiquitous, the unexplored

Anastasia Ailamaki, Pinar Tözün, Dorde Jevdic, Ippokratis Pandis, Ilknur Cansu Kaynak

Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E has already been around for six years, it has not gained the popularity of its predecessor TPC-C: all the published results for TPC-E use a single database ...

2013

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

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

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

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

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

Thermal Characterization of Cloud Workloads on a Power-Efficient Server-on-Chip

Babak Falsafi, Pejman Lotfi Kamran, Dorde Jevdic, Andreas Panteli

We propose a power-efficient many-core server-on-chip system with 3D-stacked Wide I/O DRAM targeting cloud workloads in datacenters. The integration of 3D-stacked Wide I/O DRAM on top of a logic die increases available memory bandwidth by using dense and f ...

2012

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

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

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