30 citations · 40 across the 8 of their papers we have counts for
9 papers
DIPPM: a Deep Learning Inference Performance Predictive Model using Graph Neural Networks
Karthick Panner Selvam, Mats Brorsson
Deep Learning (DL) has developed to become a corner-stone in many everyday applications that we are now relying on. However, making sure that the DL model uses the underlying hardw…
A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study
Samuel Rac, Rajarshi Sanyal, Mats Brorsson
There is an increasing interest in extending traditional cloud-native technologies, such as Kubernetes, outside the data center to build a continuum towards the edge and between. H…
At the Edge of a Seamless Cloud Experience
Samuel Rac, Mats Brorsson
There is a growing need for low latency for many devices and users. The traditional cloud computing paradigm can not meet this requirement, legitimizing the need for a new paradigm…
An ASIC Implementation and Evaluation of a Profiled Low-Energy Instruction Set Architecture Extension
Bobby Sleeba, Mikael Collin, Mats Brorsson
This paper presents an extension to an existing instruction set architecture, which gains considerable reduction in power consumption. The reduction in power consumption is achieve…
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Manxing Du, Alexander I. Cowen-Rivers, Ying Wen +4
Real-time bidding, as one of the most popular mechanisms for selling online ad slots, facilitates advertisers to reach their potential customers. The goal of bidding optimization i…
Identifying the potential of Near Data Computing for Apache Spark
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
Sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. Whil…
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
In last decade, data analytics have rapidly progressed from traditional disk-based processing to modern in-memory processing. However, little effort has been devoted at enhancing p…