Browsing by Subject "Database workload"
Now showing items 1-6 of 6
-
Conference Object
Exploring database workloads on future clustered many-core architectures
(2011)Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that process large data sets. Traditionally, DSS queries have been accelerated using large-scale multiprocessor. In ...
-
Article
Fine-grain parallelism using multi-core, Cell/BE, and GPU systems
(2012)Currently, we are facing a situation where applications exhibit increasing computational demands and where a large variety of parallel processor systems are available. In this paper we focus on exploiting fine-grain ...
-
Article
In-memory parallelism for database workloads
(2002)In this work we analyze the parallelization of database workloads for an emerging memory technology: Processing-In-Memory (PIM) chips. While most previous studies have used scientific workloads to evaluate PIM architectures, ...
-
Article
Memory-, bandwidth-, and power-aware multi-core for a graph database workload
(2011)Processors have evolved to the now de-facto standard multi-core architecture. The continuous advances in technology allow for increased component density, thus resulting in a larger number of cores on the chip. This, in ...
-
Conference Object
Scalability and efficiency of database queries on future many-core systems
(2013)Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that process large data sets. Traditionally, DSS queries have been accelerated using large-scale multiprocessors. ...
-
Conference Object
Using personality metrics to improve cache interference management in multicore processors
(Association for Computing Machinery, Inc, 2017)The trend of increasing the number of cores in a processor will lead to certain challenges, among which the fact that more cores issue more memory requests and this in turn will increase the competition, or interference, ...