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OSC Hosts MVAPICH Users Group this week

A broad array of HPC enthusiasts have gathered at the Ohio Supercomputer Center this week for the sixth meeting of the MVAPICH Users Group (MUG). “The Network-Based Computing Research Group is lead by DK Panda, a professor and university distinguished scholar of computer science at The Ohio State University, created and enhances the popular MVAPICH HPC system software package.”

Agenda Posted: MVAPICH User Group (MUG) Meeting in Ohio

The MVAPICH User Group Meeting (MUG 2018) has published its Speaker Agenda. The event will take place from August 6-8 in Columbus, Ohio. “MUG aims to bring together MVAPICH2 users, researchers, developers, and system administrators to share their experience and knowledge and learn from each other. The event includes Keynote Talks, Invited Tutorials, Invited Talks, Contributed Presentations, Open MIC session, hands-on sessions  MVAPICH developers, etc.”

Call For Presentations: MVAPICH User Group Meeting (MUG 2018)

The MVAPICH User Group Meeting (MUG 2018) has issued its Call For Presentations. The event will take place from August 6-8 in Columbus, Ohio. “MUG aims to bring together MVAPICH2 users, researchers, developers, and system administrators to share their experience and knowledge and learn from each other. The event includes Keynote Talks, Invited Tutorials, Invited Talks, Contributed Presentations, Open MIC session, hands-on sessions  MVAPICH developers, etc.”

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

DK Panda from Ohio State University gave this talk at the Swiss 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 about the challenges in designing runtime environments for MPI+X (PGAS – OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models. For the Deep Learning domain, we will focus on popular Deep Learning frameworks (Caffe, CNTK, and TensorFlow) to extract performance and scalability with MVAPICH2-GDR MPI library.”

Exploiting HPC Technologies for Accelerating Big Data Processing and Associated Deep Learning

DK Panda from Ohio State University gave this talk at the Swiss HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark, and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented. Enhanced designs for these components to exploit NVM-based in-memory technology and parallel file systems (such as Lustre) will also be presented.”

DK Panda Launches X-ScaleSolutions Startup for HPC Applications

In this video, DK Panda from X-ScaleSolutions describes how the company optimizes and supports open source software for HPC. “At X-ScaleSolutions, we align cutting edge technology into a convergent trajectory so that business analytics with Big Data/Deep Learning can be solved with high-performance and scalability while exploiting the latest HPC and Cloud technologies. The vision of X-ScaleSolutions is to bring innovative and efficient end-to-end solutions, services, support, and training to our customers.”

Video: How MVAPICH & MPI Power Scientific Research

Adam Moody from LLNL presented this talk at the MVAPICH User Group. “High-performance computing is being applied to solve the world’s most daunting problems, including researching climate change, studying fusion physics, and curing cancer. MPI is a key component in this work, and as such, the MVAPICH team plays a critical role in these efforts. In this talk, I will discuss recent science that MVAPICH has enabled and describe future research that is planned. I will detail how the MVAPICH team has responded to address past problems and list the requirements that future work will demand.”

Benefits of Multi-rail Cluster Architectures for GPU-based Nodes

Craig Tierney from NVIDIA gave this talk at the MVAPICH User Group meeting. “As high performance computing moves toward GPU-accelerated architectures, single node application performance can be between 3x and 75x faster than the CPUs alone. Performance increases of this size will require increases in network bandwidth and message rate to prevent the network from becoming the bottleneck in scalability. In this talk, we will present results from NVLink enabled systems connected via quad-rail EDR Infiniband.”

Overview of the MVAPICH Project and Future Roadmap

“This talk will provide an overview of the MVAPICH project (past, present and future). Future roadmap and features for upcoming releases of the MVAPICH2 software family (including MVAPICH2-X, MVAPICH2-GDR, MVAPICH2-Virt, MVAPICH2-EA and MVAPICH2-MIC) will be presented. Current status and future plans for OSU INAM, OEMT and OMB will also be presented.”

Challenges and Opportunities for HPC Interconnects and MPI

“This talk will reflect on prior analysis of the challenges facing high-performance interconnect technologies intended to support extreme-scale scientific computing systems, how some of these challenges have been addressed, and what new challenges lay ahead. Many of these challenges can be attributed to the complexity created by hardware diversity, which has a direct impact on interconnect technology, but new challenges are also arising indirectly as reactions to other aspects of high-performance computing, such as alternative parallel programming models and more complex system usage models.”