“Pharmacokinetic (PK) and Pharmacodynamic(PD) parameters determine the develop-ability of a drug candidate and estimation of them are time consuming and there is an urgent need for time efficient approaches. In the present talk, we showcase the parallel implementation of Grid search method on Xeon Phi using stepwise optimization techniques as a promising approach for the robust estimation of PK-PD parameters. The solution described herein, is of great importance in decision making in Pharmaceutical Industry.”
“To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload though performing profile analysis, and comparing behaviors of using different hardware which pinpoint bottlenecks in different areas of the HPC cluster. In this session, a selection of HPC applications will be shown to demonstrate various methods of profiling and analysis to determine the bottleneck, and the effectiveness of the tuning to improve on the application performance.”
In this video from the 2015 HPC Advisory Council Switzerland Conference, Branislav Jansík from the Technical University of Ostrava presents: IT4Innovations National Supercomputing Center. “Our mission is to deliver scientifically excellent and industry relevant research in the fields of high performance computing and embedded systems.”
“Cloud computing provides pay-per-use access to scalable compute resources. However, IaaS and HPC-on-demand offerings are still often complex. Instead, the CloudBroker Platform and AppCenter create a SaaS layer on top of the compute resources. In the CloudSME EU project, this is used to develop a simulation platform for manufacturing and engineering.”
Ensuring a reproducible result of HPC workloads no matter the platform used is key to settle the battle between operations (update fast, due to compliance / security) and end- user (never touch a running system). By pushing his docker related HPC research further, Christian is showcasing his results on Immutable Application Containers.
“Using the publicly available software packages in the High-Performance Big Data (HiBD) project, we will provide case studies of the new designs for several Hadoop/Spark/Memcached components and their associated benefits. Through these case studies, we will also examine the interplay between high performance interconnects, storage systems (HDD and SSD), and multi-core platforms to achieve the best solutions for these components.”
“The CMS detector at the Large Hadron Collider at CERN underwent a replacement of its data acquisition network to be able to process the increased data rate expected in the coming years. We will present the architecture of the system and discuss the design of its layers which are based on Infiniband as well as 10 and 40 GBit/s Ethernet.”