Publication

Databases on Modern Hardware. Introduction

2017

Abstract

Ever-increasing data volumes and the complexity of queries posed over the data are requiring increased processing power from the database management systems (DBMS). While modern hardware keeps offering increased parallelism and capabilities, harnessing them has been a perpetual challenge for decades. In particular, hardware trends oblige software to overcome three major challenges against systems scalability:

exploiting the abundant thread-level parallelism provided by multicores;
achieving predictably efficient execution despite the non-uniformity in multisocket mul-ticore systems; and
taking advantage of the aggressive microarchitectural features.

Official source

https://infoscience.epfl.ch/entities/publication/d58cf08e-a3d2-4672-8308-aa0747fa39f0

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2017

Abstract

exploiting the abundant thread-level parallelism provided by multicores;
achieving predictably efficient execution despite the non-uniformity in multisocket mul-ticore systems; and
taking advantage of the aggressive microarchitectural features.

Official source

https://infoscience.epfl.ch/entities/publication/d58cf08e-a3d2-4672-8308-aa0747fa39f0

About this result

Related concepts (32)

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

Hardware acceleration

Hardware acceleration is the use of computer hardware designed to perform specific functions more efficiently when compared to software running on a general-purpose central processing unit (CPU). Any transformation of data that can be calculated in software running on a generic CPU can also be calculated in custom-made hardware, or in some mix of both. To perform computing tasks more quickly (or better in some other way), generally one can invest time and money in improving the software, improving the hardware, or both.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

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