Integer Compression in NVRAM-centric Data Stores : Comparative Experimental Analysis to DRAM
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: SIGMOD/PODS '19: International Conference on Management of Data. Amsterdam, 1. Juli 2019
- Ereignis
-
Veröffentlichung
- (wo)
-
Dresden
- (wer)
-
Technische Universität Dresden
- (wann)
-
2022
- Urheber
-
Zarubin, Mikhail
Damme, Patrick
Kissinger, Thomas
Habich, Dirk
Lehner, Wolfgang
Willhalm, Thomas
- URN
-
urn:nbn:de:bsz:14-qucosa2-805474
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zarubin, Mikhail
- Damme, Patrick
- Kissinger, Thomas
- Habich, Dirk
- Lehner, Wolfgang
- Willhalm, Thomas
- Technische Universität Dresden
Entstanden
- 2022
Ähnliche Objekte (12)
BOUNCE: memory-efficient SIMD approach for lightweight integer compression
BOUNCE : memory-efficient SIMD approach for lightweight integer compression
Heterogeneity-Aware Operator Placement in Column-Store DBMS
Efficient Compute Node-Local Replication Mechanisms for NVRAM-Centric Data Structures
From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms
Data-Grey-BoxWeb Services in Data-Centric Environments
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
BOUNCE: memory-efficient SIMD approach for lightweight integer compression
BOUNCE : memory-efficient SIMD approach for lightweight integer compression
Heterogeneity-Aware Operator Placement in Column-Store DBMS
Efficient Compute Node-Local Replication Mechanisms for NVRAM-Centric Data Structures
From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms
Data-Grey-BoxWeb Services in Data-Centric Environments
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
BOUNCE: memory-efficient SIMD approach for lightweight integer compression
BOUNCE : memory-efficient SIMD approach for lightweight integer compression
Heterogeneity-Aware Operator Placement in Column-Store DBMS
Efficient Compute Node-Local Replication Mechanisms for NVRAM-Centric Data Structures
From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms
Data-Grey-BoxWeb Services in Data-Centric Environments
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows