activity
20202023
most citedEfficiently Processing Joins and Grouped Aggregations on GPUs

14 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2023★ 14 cited

Efficiently Processing Joins and Grouped Aggregations on GPUs

Bowen Wu, Dimitrios Koutsoukos, Gustavo Alonso

There is a growing interest in leveraging GPUs for tasks beyond ML, especially in database systems. Despite the existing extensive work on GPU-based database operators, several que…

cs.DB2021

How to use Persistent Memory in your Database

Dimitrios Koutsoukos, Raghav Bhartia, Ana Klimovic +1

Persistent or Non Volatile Memory (PMEM or NVM) has recently become commercially available under several configurations with different purposes and goals. Despite the attention to…

cs.DB2021★ 6 cited

Farview: Disaggregated Memory with Operator Off-loading for Database Engines

Dario Korolija, Dimitrios Koutsoukos, Kimberly Keeton +3

Cloud deployments disaggregate storage from compute, providing more flexibility to both the storage and compute layers. In this paper, we explore disaggregation by taking it one st…

cs.DB2020★ 2 cited

The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis

Ingo Müller, Renato Marroquín, Dimitrios Koutsoukos +3

Getting the best performance from the ever-increasing number of hardware platforms has been a recurring challenge for data processing systems. In recent years, the advent of data s…

cs.DB2020★ 1 cited

Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms

Dimitrios Koutsoukos, Ingo Müller, Renato Marroquín +2

The enormous quantity of data produced every day together with advances in data analytics has led to a proliferation of data management and analysis systems. Typically, these syste…