Containers Using Singularity on HPC
Abhinav Thota, from Indiana University gave this talk at the 2018 Swiss HPC Conference. "Container use is becoming more widespread in the HPC field. There are various reasons for this, including the broadening of the user base and applications of HPC. One of the popular container tools on HPC is Singularity, an open source project coming out of the Berkeley Lab. In this talk, we will introduce Singularity, discuss how users of Indiana University are using it and share our experience supporting it. This talk will include a brief demonstration as well." [READ MORE...]
Featured Stories
Call for Submissions: SC18 Workshop on Reproducibility
Over at the SC18 Blog, Stephen Lien Harrell from Purdue writes that the conference will host will host a workshop on the hot topic of Reproducibility. Their Call for Submissions is out with a deadline of August 19, 2018. "
The Systems Professionals Workshop is a platform for discussing the unique challenges and developing the state of the practice for the HPC systems community. The program committee is soliciting submissions that address the best practices of building and operating high performance systems with an emphasis on reproducible solutions that can be implemented by systems staff at other institutions." [READ MORE...]
Using the Titan Supercomputer to Develop 50,000 Years of Flood Risk Scenarios
Dag Lohmann from KatRisk gave this talk at the HPC User Forum in Tucson. "In 2012, a small Berkeley, California, startup called KatRisk set out to improve the quality of worldwide flood risk maps. The team wanted to create large-scale, high-resolution maps to help insurance companies evaluate flood risk on the scale of city blocks and buildings, something that had never been done. Through the OLCF’s industrial partnership program, KatRisk received 5 million processor hours on Titan." [READ MORE...]
Fujitsu Upgrades RAIDEN at RIKEN Center for Advanced Intelligence Project
Fujitsu reports that the company has significantly boosted the performance of the RAIDEN supercompuer. RAIDEN is a computer system for artificial intelligence research originally deployed in 2017 at the RIKEN Center for Advanced Intelligence Project (AIP Center). "The upgraded RAIDEN has increased its performance by a considerable margin, moving from an initial total theoretical computational performance of 4 AI Petaflops to 54 AI Petaflops, placing it in the top tier of Japan's systems. In having built this system, Fujitsu demonstrates its commitment to support cutting-edge AI research in Japan." [READ MORE...]
Featured Resource
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.
Industry Perspectives
Exascale Computing for Long Term Design of Urban Systems
In this episode of Let's Talk Exascale, Charlie Catlett from Argonne National Laboratory and the University of Chicago describes how extreme scale HPC will be required to better build Smart Cities. "Urbanization is a bigger set of challenges in the developing world than in the developed world, but it’s still a challenge for us in US and European cities and Japan." [Read More...]
Industry Insights: Download the Results of our AI & HPC Perceptions Survey
The results from our HPC & AI peception survey are here. "90 percent of all respondents felt that their business will ultimately be impacted by AI. Although almost all respondents see AI as playing a role in the future of the business, the survey also revealed the top three industries that will see the most impact. Healthcare came in first, followed by life sciences, and finance/transportation tied in third place. The possibilities of AI are seemingly endless. And the shift has already begun." [Read More...]
Featured from insideBIGDATA
- Kogniz Announces Launch of AICam – AI Surveillance CameraKogniz, a California-based technology company, announced the introduction of the company’s first product, AICam. The technology offers businesses fully-autonomous surveillance cameras with artificial intelligence that identify people and threats in real-time, using video-based facial recognition and object detection.
News from insideBIGDATA
- Data Capture Challenges No One Wants to Talk About
- Kogniz Announces Launch of AICam – AI Surveillance Camera
- 3 Reasons Why Machine Learning Should Matter to B2C Businesses Too
- Big Data Analytics Receive a “Spark” In the Arm
- Developing a Deeper Understanding of Apache Kafka Architecture Part 2: Write and Read Scalability
- New Tech Trends Survey: AI/ML Top List of Priorities for IT Pros
- 5 Business Intelligence Mistakes That Can Cost You Dearly
Editor’s Choice
Ceph on the Brain: Storage and Data-Movement Supporting the Human Brain Project
Adrian Tate from Cray and Stig Telfer from StackHPC gave this talk at the 2018 Swiss HPC Conference. "This talk will describe how Cray, StackHPC and the HBP co-designed a next-generation storage system based on Ceph, exploiting complex memory hierarchies and enabling next-generation mixed workload execution. We will describe the challenges, show performance data and detail the ways that a similar storage setup may be used in HPC systems of the future." [Read More...]
Shifter - Docker Containers for HPC
Alberto Madonaa gave this talk at the Swiss HPC Conference. "In this work we present an extension to the container runtime of Shifter that provides containerized applications with a mechanism to access GPU accelerators and specialized networking from the host system, effectively enabling performance portability of containers across HPC resources. The presented extension makes possible to rapidly deploy high-performance software on supercomputers from containerized applications that have been developed, built, and tested in non-HPC commodity hardware, e.g. the laptop or workstation of a researcher." [Read More...]
Iceland's Verne Global Steps up to run HPC & AI Workloads in the Cloud
In this video from the GPU Technology Conference, Bob Fletcher from Verne Global discusses why more and more HPC & AI workloads are moving to the company's datacenters in Iceland. “Today’s computational environments are changing rapidly as more companies are looking to utilize HPC and intensive applications across an increasingly wide variety of industries. At Verne Global we have fully optimized our campus to meet the specific requirements of the international HPC community.” [Read More...]
Video: Demystifying Parallel and Distributed Deep Learning
Torsten Hoefler from (ETH) Zürich gave this talk at the 2018 Swiss HPC Conference. "Deep Neural Networks (DNNs) are becoming an important tool in modern computing applications. Accelerating their training is a major challenge and techniques range from distributed algorithms to low-level circuit design. In this talk, we describe the problem from a theoretical perspective, followed by approaches for its parallelization." [Read More...]
Inside the new NVIDIA DGX-2 Supercomputer with NVSwitch
In this video from the GPU Technology Conference, Marc Hamilton from NVIDIA describes the new DGX-2 supercomputer with the NVSwitch interconnect. "NVIDIA NVSwitch is the first on-node switch architecture to support 16 fully-connected GPUs in a single server node and drive simultaneous communication between all eight GPU pairs at an incredible 300 GB/s each. These 16 GPUs can be used as a single large-scale accelerator with 0.5 Terabytes of unified memory space and 2 petaFLOPS of deep learning compute power. With NVSwitch, we have 2.4 terabytes a second bisection bandwidth, 24 times what you would have with two DGX-1s." [Read More...]
