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Publications associées (179)

TRANSFORMERS: Robust Spatial Joins on Non-Uniform Data Distributions

Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis, Mirjana Pavlovic

Spatial joins are becoming increasingly ubiquitous in many applications, particularly in the scientific domain. While several approaches have been proposed for joining spatial datasets, each of them has a strength for a particular type of density ratio amo ...

IEEE2016

DBMS Data Loading: An Analysis on Modern Hardware

Anastasia Ailamaki, Ioannis Alagiannis, Manolis Karpathiotakis, Adam Dziedzic, Raja Appuswamy

2016

More Than A Network: Distributed OLTP on Clusters of Hardware Islands

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Raja Appuswamy

2016

Micro-architectural Analysis of In-memory OLTP

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Utku Sirin

Micro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP mostly under-utilize the available micro-architectural ...

2016

Space Odyssey - Efficient Exploration of Scientific Data

Anastasia Ailamaki, Thomas Heinis, Mirjana Pavlovic, Eleni Tzirita Zacharatou, Darius Sidlauskas

Advances in data acquisition—through more powerful supercomputers for simulation or sensors with better resolution—help scientists tremendously to understand natural phenomena. At the same time, however, it leaves them with a plethora of data and the chall ...

ACM2016

Characterization of the Impact of Hardware Islands on OLTP

Anastasia Ailamaki, Pinar Tözün, Ippokratis Pandis, Danica Porobic, Miguel Sérgio De Oliveira Branco

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, database sys ...

Springer Verlag2016

Smooth Scan: Statistics-Oblivious Access Paths

Anastasia Ailamaki, Renata Borovica-Gajic

Query optimizers depend heavily on statistics representing column distributions to create efficient query plans. In many cases, though, statistics are outdated or non-existent, and the process of refreshing statistics is very expensive, especially for ad-h ...

2015

THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads

Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis

2015

Reconsolidating Data Structures

Anastasia Ailamaki, Thomas Heinis

2015

Towards the Identification of Disease Signatures

Anastasia Ailamaki, Thomas Heinis, Manolis Karpathiotakis

The identification of biological signatures of diseases will enable the development of new biologically grounded classifications of brain diseases, leading to a new systematic understanding of their causes, and new diagnostic tools. In this paper we presen ...

Springer International Publishing2015

RUBIK: Efficient Threshold Queries on Massive Time Series

Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis, Eleni Tzirita Zacharatou

An increasing number of applications from finance, meteorology, science and others are producing time series as output. The analysis of the vast amount of time series is key to understand the phenomena studied, particularly in the simulation sciences, wher ...

2015

Scaling up Mixed Workloads: a Battle of Data Freshness, Flexibility, and Scheduling

Anastasia Ailamaki, Iraklis Psaroudakis

The common "one size does not fit all" paradigm isolates transactional and analytical workloads into separate, specialized database systems. Operational data is periodically replicated to a data warehouse for analytics. Competitiveness of enterprises today ...

Springer International Publishing AG2015

Reconstruction and Simulation of Neocortical Microcircuitry

Nenad Buncic, Jean-Vincent Le Bé, Selim Arsever, Henry Markram, Gilad Silberberg, Sébastien Lasserre, Vincent Delattre, Raphael Dumusc, Rodrigo de Campos Perin, Imad Riachi, Thomas Berger, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Michael Lee Hines, Sean Lewis Hill, Juan Bautista Hernando Vieites, Georges Khazen, Shruti Muralidhar, Anastasia Ailamaki, Eilif Benjamin Muller, Farhan Tauheed, Jean Pierre Ghobril, Julie Meystre, Daniel Keller, Idan Segev, Michael Reimann, Thomas Heinis, John Richard Walker, Martin Telefont, Yun Wang, Ying Shi, Joseph William Graham, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Jean-Denis Georges Emile Courcol, Ahmet Bilgili, Werner Alfons Hilda Van Geit, Athanassia Chalimourda, , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Applying HTM to an OLTP System: No Free Lunch

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, David Cervini

Transactional memory is a promising way for implementing efficient synchronization mechanisms for multicore processors. Intel's introduction of hardware transactional memory (HTM) into their Haswell line of processors marks an important step toward mainstr ...

2015

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Ioannis Alagiannis, Renata Borovica-Gajic, Miguel Sérgio De Oliveira Branco

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare and to load the data into the database before executing the desired queries. Many applications already av ...

Assoc Computing Machinery2015

Configuring Spatial Grids for Efficient Main Memory Joins

Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis

The performance of spatial joins is becoming increasingly important in many applications, particularly in the scientific domain. Several approaches have been proposed for joining spatial datasets on disk and few in main memory. Recent results show that in ...

Springer-Verlag Berlin2015

How to Stop Under-Utilization and Love Multicores

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Iraklis Psaroudakis, Erietta Liarou

Hardware trends oblige software to overcome three major challenges against systems scalability: (1) taking advantage of the implicit/vertical parallelism within a core that is enabled through the aggressive micro-architectural features, (2) exploiting the ...

2015

Just-In-Time Data Virtualization: Lightweight Data Management with ViDa

Anastasia Ailamaki, Ioannis Alagiannis, Thomas Heinis, Miguel Sérgio De Oliveira Branco, Manolis Karpathiotakis

As the size of data and its heterogeneity increase, traditional database system architecture becomes an obstacle to data analysis. Integrating and ingesting (loading) data into databases is quickly becoming a bottleneck in face of massive data as well as i ...

2015

Online Updates on Data Warehouses via Judicious Use of Solid-State Storage

Anastasia Ailamaki, Radu Ioan Stoica, Manoussos Gavriil Athanassoulis

Data warehouses have been traditionally optimized for read-only query performance, allowing only offline updates at night, essentially trading off data freshness for performance. The need for 24x7 operations in global markets and the rise of online and oth ...

Assoc Computing Machinery2015

OCTOPUS: Efficient Query Execution on Dynamic Mesh Datasets

Henry Markram, Felix Schürmann, Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis

Scientists in many disciplines use spatial mesh models to study physical phenomena. Simulating natural phenomena by changing meshes over time helps to understand and predict future behavior of the phenomena. The higher the precision of the mesh models, the ...

2014

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Keerthan Muthurasa

Stefan Eilemann

Guy Antoine Atenekeng Kahou

Jeffrey Christopher Muller

Carlos Aguado Sanchez

Jafet Villafranca Diaz

Aleksandr Ovcharenko

Juan Luis Riquelme Roman

Benjamin Roy Morrice

James Alexander Dynes

Michael Emiel Gevaert

Juan Pablo Palacios

Pramod Shivaji Kumbhar

Ricardo Manuel Salgueiro Domingues Da Silva

Max Christian Nolte

Zoltan Kisvarday

Nicolas Antille

Lidia Alonso-Nanclares

Taylor Howard Newton

Alberto Munoz Cespedes

Anirudh Gupta

Michael John Kenyon

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse ex ...

Elsevier2015