What’s New in HPC Research: Smart Vehicles, Phylogenetics, Satellite Imagery & More

By Oliver Peckham

July 25, 2019

In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here.


Building hands-on research and training for HPC

As HPC becomes more widespread, training a skilled HPC workforce is more important than ever. This paper – written by a team from the University of Tennessee, Knoxville – details a program for hands-on research experiences in high-performance data sciences, data analytics and machine learning. The authors discuss the Research Experiences for Computation Science, Engineering, and Mathematics (RECSEM) program, which is supported by the U.S. National Science Foundation (NSF), highlighting experiences and lessons learned.

Authors: Kwai Wong, Stanimire Tomov and Jack Dongarra.

Using HPC for phylogenetics and phylodynamics

Like most fields involving genomic data, phylogenomics – the intersection of genetics and evolution – is struggling to keep pace with the volume and diversity of its data collection. This paper – written by an international research team from the U.S., Belgium and Scotland – provides an in-depth look at “BEAGLE,” a high-performance evaluator for evolutionary likelihood calculation, said to enable “substantially reduce[d] computation time in phylogenomic and phylodynamic analyses.” The team discusses computational issues surrounding BEAGLE, with an emphasis on comparing performance between multicore CPUs and a range of GPUs.

Authors: Guy Baele, Daniel L. Ayres, Andrew Rambaut, Marc A. Suchard and Philippe Lemey.

Using a cognitive scheduler for a heterogeneous HPC system

Heterogeneous HPC systems are popular due in large part to their flexibility – however, that flexibility (and complexity) puts burdens on resource management. In this paper, a team from the IBM T.J. Watson Research Center describes “CuSH,” a cognitive scheduler that leverages deep neural networks and reinforcement learning. The researchers evaluated CuSH using a simulator, finding that CuSH outperforms traditional approaches in all tested use cases.

Authors: Giacomo Domeniconi, Eun Kyung Lee and Alessandro Morari.

Efficiently collecting real-time data on petascale systems

Collecting data from HPC systems efficiently, reliably and resiliently remains a major challenge. A team of Chinese researchers has set out to create an effective optimized framework for improving the efficiency of data collection in petascale systems with an eye toward improving scalability into the exascale era. Their paper describes the framework, which includes a data collection acceleration layer within H2FS (the Tianhe-2 file system), a performance analysis tool, and a new method for log template extraction. The research team tested the framework and find it to be effective and scalable.

Authors: Huang Huang, Li-Qian Zhou, YuTong Lu, Tong Xiao, Can Leng, Chuanying Li and Zhe Quan.

Using HPC in vehicles to create image datasets for deep learning

Modern vehicles – especially smart vehicles or self-driving cars – collect large amounts of data from multiple cameras, which can be used to train neural networks within the vehicles to detect objects; however, that data must first be annotated. In this paper, a team of researchers from Intel and Ericsson Nikola Tesla investigate the possibility of using HPC inside vehicles to add initial annotations at the edge rather than transferring the data to a datacenter for training. 

Authors: Branimir Malnar, Alexander Unnervik and Neslihan Köse.

Benchmarking HPC processors for global science applications

The European Commission’s Centre of Excellence for Global Systems Science (CoeGSS) provides computer-aided decision support for energy, water, food and pandemic issues, among others. In this paper, a team from the High-Performance Computing Center Stuttgart and the Poznan Supercomputing and Networking Center propose a benchmark that evaluates HPC architectures for use in global systems science. The researchers also attempt to identify the best HPC system for typical global systems science software environments.

Authors: Damian Kaliszan, Norbert Meyer, Sebastian Petruczynik, Michael Gienger and Sergiy Gogolenko.

Conducting high-performance time series quantitative retrieval from satellite images on a GPU cluster

Advances in remote sensing instruments are allowing geoscientists to perform increasingly robust quantitative retrieval applications, which let them observe the characteristics of land, atmosphere and ocean areas. In this paper, written by a team from China and the United Kingdom, the authors design and implement a high-performance framework on a GPU cluster to reduce the time consumption of quantitative retrieval applications over time scales. 

Authors: Jia Liu, Yong Xue, Kaijun Ren, Junqiang Song, Christopher Windmill and Patrick Merritt.


Do you know about research that should be included in next month’s list? If so, send us an email at [email protected]. We look forward to hearing from you.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Bill Gropp on ‘Different Approaches to AI’

November 6, 2024

Around this same time last year, I expounded on what the “Future of AI” may entail. A lot has happened in the 12 months since then, including new approaches, new trends and, yes, new complications. A lot of the ne Read more…

Google Cloud Sporting a New Look in HPC and AI Hardware

November 5, 2024

It's raining hardware at Google Cloud, with the company making major upgrades in advance of bringing Nvidia's Blackwell GPUs into its fold next year. The upgrades announced in late October include a preview of its new Read more…

Go (Mountain) West, Quantum Workers! CU, CUbit, and Elevate Quantum Issue Workforce Roadmap

November 5, 2024

Last week the University of Colorado (Boulder), the CUbit Quantum Initiative, and the Elevate Quantum consortium released workforce roadmap for educating and building a quantum workforce. “This roadmap provides a foun Read more…

Collaboration Speeds Complex Chemical Modeling

November 4, 2024

A recent collaboration among researchers from HUN-REN Wigner Research Centre for Physics in Hungary and the Department of Energy's Pacific Northwest National Laboratory (PNNL), along with industry collaborators SandboxAQ Read more…

High-Performance Storage for AI and Analytics Panel

October 31, 2024

When storage is mentioned in an AI or Big Data analytics context, it is assumed to be a high-performance system. In practice, it may not be, and the user eventually learns about scaleable storage as the amounts of data g Read more…

Microsoft Azure & AMD Solution Channel

Join Microsoft Azure and AMD at SC24

Atlanta, Georgia is the place to be this fall as the high-performance computing (HPC) community convenes for Supercomputing 2024. SC24 will bring together an unparalleled mix of scientists, engineers, researchers, educators, programmers, and developers for a week of learning and sharing. Read more…

White House Mulls Expanding AI Chip Export Bans Beyond China

October 31, 2024

The Biden administration is reportedly considering capping sales of advanced artificial intelligence (AI) chips from US-based manufacturers like AMD and Nvidia to certain countries, including those in the Middle East. � Read more…

Bill Gropp on ‘Different Approaches to AI’

November 6, 2024

Around this same time last year, I expounded on what the “Future of AI” may entail. A lot has happened in the 12 months since then, including new approaches Read more…

Shutterstock 1179408610

Google Cloud Sporting a New Look in HPC and AI Hardware

November 5, 2024

It's raining hardware at Google Cloud, with the company making major upgrades in advance of bringing Nvidia's Blackwell GPUs into its fold next year. The upg Read more…

Go (Mountain) West, Quantum Workers! CU, CUbit, and Elevate Quantum Issue Workforce Roadmap

November 5, 2024

Last week the University of Colorado (Boulder), the CUbit Quantum Initiative, and the Elevate Quantum consortium released workforce roadmap for educating and bu Read more…

Collaboration Speeds Complex Chemical Modeling

November 4, 2024

A recent collaboration among researchers from HUN-REN Wigner Research Centre for Physics in Hungary and the Department of Energy's Pacific Northwest National La Read more…

High-Performance Storage for AI and Analytics Panel

October 31, 2024

When storage is mentioned in an AI or Big Data analytics context, it is assumed to be a high-performance system. In practice, it may not be, and the user eventu Read more…

Shutterstock_556401859

Role Reversal: Google Teases Nvidia’s Blackwell as It Softens TPU Rivalry

October 30, 2024

Customers now have access to Google's homegrown hardware -- its Axion CPU and latest Trillium TPU -- in its Cloud service.  At the same time, Google gave custo Read more…

AI Has a Data Problem, Appen Report Says

October 30, 2024

AI may be a priority at American companies, but the difficulty in managing data and obtaining high quality data to train AI models is becoming a bigger hurdle t Read more…

Report from HALO Details Issues Facing HPC-AI Industry

October 28, 2024

Intersect360 Research has released a comprehensive new report concerning the challenges facing the combined fields of high-performance computing (HPC) and artif Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

xAI Colossus: The Elon Project

September 5, 2024

Elon Musk's xAI cluster, named Colossus (possibly after the 1970 movie about a massive computer that does not end well), has been brought online. Musk recently Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Leading Solution Providers

Contributors

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Zapata Computing, Early Quantum-AI Software Specialist, Ceases Operations

October 14, 2024

Zapata Computing, which was founded in 2017 as a Harvard spinout specializing in quantum software and later pivoted to an AI focus, is ceasing operations, accor Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

On Paper, AMD’s New MI355X Makes MI325X Look Pedestrian

October 15, 2024

Advanced Micro Devices has detailed two new GPUs that unambiguously reinforce it as the only legitimate GPU alternative to Nvidia. AMD shared new facts on its n Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire