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High-Performance Big Data Analytics with RDMA over NVM and NVMe-SSD

Xiaoyi Lu from OSU gave this talk at the 2018 OpenFabrics Workshop. “The convergence of Big Data and HPC has been pushing the innovation of accelerating Big Data analytics and management on modern HPC clusters. Recent studies have shown that the performance of Apache Hadoop, Spark, and Memcached can be significantly improved by leveraging the high-performance networking technologies, such as Remote Direct Memory Access (RDMA). In this talk, we propose new communication and I/O schemes for these data analytics stacks, which are designed with RDMA over NVM and NVMe-SSD.”

Unified Deep Learning with CPU, GPU and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. Download the new paper — from Advanced Micro Devices Inc. (AMD) and Xilinx Inc. — that explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture.

Dr. Xiaoxiang Zhu wins 2018 PRACE Ada Lovelace Award for HPC

Today PRACE announced that Prof. Dr. Xiaoxiang Zhu, German Aerospace Center (DLR) and Technical University of Munich (TUM), Germany, is the winner of the 2018 PRACE Ada Lovelace Award for HPC for her outstanding contributions and impact on HPC in Europe. “Prof Zhu and her team (SiPEO) develop explorative algorithms to improve information retrieval from remote sensing data, in particular those from the current and next generation of Earth observation missions.”

DDN partners with SQream for “World’s Fastest Big Data Analytics”

“The complexities of big data and data science models, particularly in data-intensive fields such as life sciences, telecommunications, cybersecurity, financial services and retail, require purpose-built database applications, compute systems and storage platforms. We are excited to partner with DDN and bring the benefits of its unsurpassed expertise in large-scale, high-performance computing environments to our customers.”

Job of the Week: Staff Data Scientist at GE

GE in San Ramon, California is seeking a Data Scientist in our Job of the Week. “We are looking for a Data Scientist to work in Deep Learning(DL) to assist and build deep learning algorithms using imaging and non-imaging data. This individual will work with customer clinical data scientists and interface with internal GE software and data science teams to deliver high quality software in a fast paced, challenging, and creative environment.”

Designing HPC, Deep Learning, and Cloud Middleware for Exascale Systems

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will focus on challenges in designing HPC, Deep Learning, and HPC Cloud middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss the challenges in designing runtime environments for MPI+X (PGAS-OpenSHMEM/UPC/CAF/UPC++, OpenMP and Cuda) programming models by taking into account support for multi-core systems (KNL and OpenPower), high networks, GPGPUs (including GPUDirect RDMA) and energy awareness.”

Interview: European cHiPSet Event focuses on High-Performance Modeling and Simulation for Big Data Applications

The cHIPSet Annual Plenary Meeting takes place in France next month. To learn more, we caught up with the Vice-Chair for the project, Dr. Horacio González-Vélez, Associate Professor and Head of the Cloud Competency Centre at the National College of Ireland. “The plenary meeting will feature a workshop entitled “Accelerating Modeling and Simulation in the Data Deluge Era”. We are expecting keynote presentations and panel discussions on how the forthcoming exascale systems will influence the analysis and interpretation of data, including the simulation of models, to match observation to theory.”

Supercomputing Frontiers Europe Announces Keynote Speakers

The Supercomputing Frontiers conference has announced it Full Agenda and Keynote Speakers. The event takes place March 12-15 in Warsaw, Poland. “Supercomputing Frontiers is an annual international conference that provides a platform for thought leaders from both academia and industry to interact and discuss visionary ideas, important visionary trends and substantial innovations in supercomputing.”

Report: Future Software and Data Ecosystem for Scientific Inquiry

“The tremendous progress that we’re making toward the achievement of exascale systems, both here in the United States and in the European Union and Asia, will be undermined unless we can create a shared distributed computing platform to manage the logistics of massive, multistage data workflows with their sources at the network edge. Backhauling these rivers of data to the supercomputing center or the commercial cloud will not be a viable option for many, if not most applications.”

VMware moves Virtualized HPC Forward at SC17

In this video from SC17, and Martin Yip and Josh Simons from VMware describe how the company is moving Virtualized HPC forward. “In recent years, virtualization has started making major inroads into the realm of High Performance Computing, an area that was previously considered off-limits. In application areas such as life sciences, electronic design automation, financial services, Big Data, and digital media, people are discovering that there are benefits to running a virtualized infrastructure that are similar to those experienced by enterprise applications, but also unique to HPC.”