James Reinders
Oregon
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Dad, husband, engineer at Intel, parallel computing enthusiast, book author, numismatist, scouter, woodworker, 3D printer dabbler, maize and blue wolverine.
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Articles by James Reinders
Is Fortran the Best Programming Language? Asking ChatGPT
Guest contributor James Reinders concludes his “interview” with ChatGPT focusing on Fortran (greatest programming language ever?) and exploring what the next steps for chatbots will be. I recently wrote about my experience with interviewing ChatGPT here. As promised, in this follow-on and conclusion of my interview, I focus on Fortran and other languages. All in good fun. I hope you enjoy the conclusion of my interview.
An Interview with ChatGPT and Eliza on AI and HPC Topics Original
Guest contributor James Reinders “interviews” ChatGPT and Eliza on on topics that span trusting AI (including HAL 9000s), HPC, heterogeneous computing, Fortran, Python, and predicting the future. Conversing with computers is inevitable, and our fascination with it and the famous Turing test are nearly infinite and span people from all walks of life.
Solving Heterogeneous Programming Challenges with Python, Today
In the fourth of a series of guest posts on heterogenous computing, James Reinders considers how full heterogeneous programming can be realized with Python today. You may be surprised how ready Python is for heterogeneous programming, and how easy it is to use today.
Reflecting on the 25th Anniversary of ASCI Red and Continuing Themes for Our Heterogenous Future
In the third of a series of guest posts on heterogeneous computing, James Reinders shares experiences surrounding the creation of ASCI Red and ties that system’s quadranscentennial anniversary to predictions about the heterogeneous future being ushered in by exaflops machines. In 1997, ASCI Red appeared on the Top500 as the first teraflops machine in history. It held that spot for seven lists, a record that remains unbroken decades later.
Heterogeneous Hardware Needs Universal Software
As hardware advances and diversifies, we’re entering what many see as a new golden age of computer architecture. However, the idea of an ever-expanding hardware landscape can be daunting for software developers, because while hardware diversity is wonderful for price and innovation, it can lead to spiraling software complexity on the back end.
Why SYCL: Elephants in the SYCL Room
Commentary — In the second of a series of guest posts on heterogeneous computing, James Reinders, who returned to Intel last year after a short “retirement,” follows up on his piece about how SYCL will contribute to a heterogeneous future for C++. He is joined by Michael Wong, of Codeplay Software Ltd., who is also the current SYCL committee chair.
Getting Started With Cross-Platform Heterogeneous Computing
SYCL is a Khronos standard that brings support for fully heterogeneous data parallelism to C++. SYCL is a key solution to one aspect of a larger problem: How do we enable programming in the face of an explosion of hardware diversity that is coming? Today, SYCL solves these problems in a way that lets us target hardware from many vendors, with many architectures, usefully. SYCL supports heterogeneous programming in C++.
Solving Heterogeneous Programming Challenges with SYCL
In the first of a series of guest posts on heterogenous computing, James Reinders, who returned to Intel last year after a short “retirement,” considers how SYCL will contribute to a heterogeneous future for C++. Reinders digs into SYCL from multiple angles and offers suggestions and tips on how to learn more. SYCL is a Khronos standard that brings support for fully heterogeneous data parallelism to C++. That is much easier to say than it is to grasp why it is so important.
Heterogeneous Processing Requires Data-Parallelization Tools: SYCL and DPC++ are a Good Start
James Reinders James Reinders, engineer at Intel, has more than three decades experience in parallel computing, and is an author/co-author/editor of ten technical books related to parallel programming. James works at Intel promoting parallel programming in a heterogeneous (XPU) world.
Outlook onto European Supercomputing is amazing
An Exascale View from Europe; by Marie-Christine Sawley (Dr. Marie-Christine Sawley is the Data Center Pathfinding Europe Lab Director for Intel Corporation… she shares her views of Exascale with a European perspective that I found an interesting read!) I was drawn to HPC by my work in Plasma Physics, a passion that continues to this day.
A Memory Revolution poised to change FSI (and much of computing) forever.
Financial Services Businesses thrive on being faster or better than their competition in what they do best, and computer systems are obviously instrumental in that. There is a new memory technology, that is poised to change FSI, and much of computing, forever. And in the nick of time — DRAM scaling has been slowing to a crawl (processor clock scaling slowed more than a decade ago).
The future of computing is heterogeneous, CPU and friends
In a world with Big Data and diverse workloads, the need for compute seems endless — and now with the influence of AI through new and merged workloads, the need for compute may prove to be endless. The hunger for compute has spurred an onslaught of product competing to help accelerate our workloads – all helping usher in the era of Heterogenous computing. In this new world, it’s not just CPUs or GPUs we have to program, but many devices. There are many reasons for programmers to be concerned.
When Dense Matrix Representations Beat Sparse
In our world filled with unintended consequences, it turns out that saving memory space to help deal with GPU limitations, knowing it introduces performance penalties on matrix operations, can end up costing both performance and memory space.
Seven habits IT can learn from HPC organizations when using AI
James Reinders James Reinders likes fast computers and the software tools to make them speedy. With over 30 years in high-performance computing (HPC) and parallel computing, including 27 Years at Intel Corporation (retired June 2016), he is also the author of nine books in the HPC field, numerous papers and blogs.
Scientific Computing
A new form of magnetic interaction which pushes a formerly two-dimensional phenomenon into the third dimension could open up a host of exciting new possibilities for data storage and advanced computing, scientists say.
New German Supercomputer Poised to Significantly Accelerate Research
Founded in 2001, the North German Association for High Performance Computing (HLRN) seeks to revolutionize science across Germany, with three previous high performance computing (HPC) systems already under their belt. Their forthcoming HLRN-IV HPC system will offer the flexibility and power necessary to accommodate increasingly-complex applications and algorithms used by researchers.
10 Ways AI Affects HPC in 2019
Here are the top ten ways that AI will most impact HPC in 2019. 10. Tensors: Lingua franca for AI computations Vector algebra usage gave rise to computers designed for vector computing. Early supercomputers from Cray were vector-supercomputers, which in turn encouraged expressing applications as vector and matrix algebra problems, which in turn reinforced computers being designed to ensure vector computations run fast. This reinforcing cycle has strongly defined HPC over the years.
Top Ten Ways AI Affects HPC in 2019
AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization plans for the future, AI workloads are on our minds — how do they affect programming, software needs, hardware demands, and training needs? In the upcoming year, specialists and AI experts will continue to come together to create new and innovative solutions. Here are the top ten ways that AI will most impact HPC in 2019. 10.
A Big Data Journey While Seeking to Catalog our Universe
It turns out, astronomers have lots of photos of the sky but seek knowledge about what the photos mean. Sound familiar? Big data problems are often characterized as transforming data into insights – which is exactly what some ambitious scientists are working to do with “Sky Survey” data.
Topology Can Help Us Find Patterns in Weather
Topology––the study of shapes– seems to be all the rage. You could even say that data has shape, and shape matters. Shapes are comfortable and familiar concepts, so it is intriguing to see that many applications are being recast to use topology. For instance, looking for weather and climate patterns. The Quest for Explainability Interestingly, a key motivation for looking to topology is explainability (interpretability). One might say that, for many, the honeymoon period with “AIâ€?
Imagining the Unthinkable: Simulations Without Classical Monte Carlo
Speeding up the Monte Carlo simulations is of interest because such simulations take vast computational resources to run. What if we could dramatically speed things up but still have results that did as well as today’s classical Monte Carlo simulations? This is on the minds of a number of research scientists out there. Their thinking? Harvest the flexibility of a modern computer system with a novel application of machine learning.
Bringing Researchers to the Frontier of FPGA Development
There are two key barriers to fully exploring the emerging use of Field Programmable Gate Arrays (FPGAs) at the scale found in data centers: capital investment for private equipment, and gaining full, unfettered access to shared equipment. Derek Chiou, and his colleagues at the Texas Advanced Computing Center (TACC), are on a mission to change all that.
How FPGAs Accelerate Financial Services Workloads
Editor’s note: While FSI companies are unlikely to disclose how they plan to use FPGAs to beat their competition, HPC enthusiast James Reinders offers insights into the case for FPGAs as accelerators for FSI by discussing performance, power, size, latency, jitter and inline processing. Even before the recent global financial crisis (2007-2008) led to a rapid growth in demand for risk analytics, the computational demands of the financial services industry (FSI) were substantial.
Applications will be the real drivers to convergence of AI and HPC
Applications will be the real drivers to convergence of AI and HPCMany people nod their heads when we talk about convergence of AI and HPC, but the reasons given vary and seldom focus on the value to individual applications. The writing is on the wall if we look: the most effective future applications themselves will use AI and HPC techniques, and that will drive convergence in a way nothing else can.
FPGA Programming with OpenCL
This article is in the Product Showcase section for our sponsors at CodeProject. These articles are intended to provide you with information on products and services that we consider useful and of value to developers. Field-programmable gate arrays (FPGAs) are exciting because they offer high performance with low latency and power efficiency. These benefits are realized through their massive parallel capabilities coupled with reconfigurability.
SC17: Singularity Preps Version 3.0, Nears 1M Containers Served Daily
Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That was already a big number for the young open source project. Today, the number is closer to one million per day says Gregory Kurtzer, former HPC Systems Architect for Lawrence Berkeley National, the original driving force behind Singularity, and now the CEO of SingularityWare LCC.
Former NERSC PI Wins Nobel Prize in Chemistry for Cryo-EM
Oct. 5 —Â The 2017 Nobel Prize in Chemistry was awarded October 4 to three scientists central to the development of cryo-electron microscopy (Cryo-EM), a technique used to reveal the structures of large organic molecules at high resolution.
Clemson Palmetto Cluster on Track for $1 Million Upgrade
CLEMSON, Oct. 5 — A $1-million upgrade to Clemson University’s acclaimed supercomputer, the Palmetto Cluster, is expected to help researchers quicken the pace of scientific discovery and technological innovation in a broad range of fields, from developing new medicines to creating advanced materials. New hardware that could be in place as early as spring will add even more power to the Palmetto Cluster.
IEEE Awards Recognize Early Career Researchers in HPC
LOS ALAMITOS, Calif., Oct. 1 – IEEE Computer Society (IEEE-CS) selects Antonio J. Pe??a of the Barcelona Supercomputing Center (BSC), Amanda Randles of Duke University, and Shuaiwen Leon Song of Pacific Northwest National Laboratory, as 2017 winners of the IEEE-CS Technical Consortium on High Performance Computing (TCHPC) Award for Excellence for Early Career Researchers in High Performance Computing. Dr. Antonio J.
Delays, Smoke, Records & Markets - A Candid Conversation with Cray CEO Peter Ungaro
Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderella journey the last three years. It closed out 2015 with record revenue of $725 million and went into 2016 with even higher expectations. However, market sluggishness, chip delays and a mid-year smoke event led Cray to lower 2016 guidance from around $825 million to the $650 million range.
Cray Wins $48M Supercomputer Contract from KISTI
It was a good day for Cray which won a $48 million contract from the Korea Institute of Science and Technology Information (KISTI) for a 128-rack CS500 cluster supercomputer. The new system, equipped with Intel Xeon Scalable processors and Intel Xeon Phi processors, will be the largest supercomputer in South Korea and will provide supercomputing services for universities, research institutes, and industries.
Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research
Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
Adolfy Hoisie to Lead Brookhaven’s Computing for National Security Effort
Brookhaven National Laboratory announced today that Adolfy Hoisie will chair its newly formed Computing for National Security department, which is part of Brookhaven’s new Computational Science Initiative (CSI). “We see a huge potential to make a positive impact on the nation’s security by bringing our unique extreme-scale data expertise to bear on challenges of national importance,� said CSI Director Kerstin Kleese van Dam in the announcement.
PNNL’s Center for Advanced Tech Evaluation Seeks Wider HPC Community Ties
Two years ago the Department of Energy established the Center for Advanced Technology Evaluation (CENATE) at Pacific Northwest National Laboratory (PNNL). CENATE’s ambitious mission was to be a proving ground for near-term and long-term technologies that could impact DoE workloads and HPC broadly. This month the leadership baton was passed from founding director Adolfy Hoise to Kevin Barker, a veteran PNNL researcher and member of the CENATE project since its start.
EPA Awards CSRA Contract With Potential $115M Value
FALLS CHURCH, Va., Aug. 28, 2017 — The U.S. Environmental Protection Agency’s (EPA) Office of Environmental Information (OEI) has awarded a contract to SRA International Inc. a subsidiary of CSRA Inc. (NYSE: CSRA). The contract has a potential value of $115 million. CSRA was one of seven awardees for the EPA Information Technology Solutions – Business Information Strategic Support III (ITS-BISS III) FA1 Indefinite Delivery Indefinite Quantity (IDIQ) contract.
National Synchrotron Light Source II Celebrates Two Years of User Operations
BROOKHAVEN, N.Y., Aug. 28, 2017 — In July of 2017, the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory wished a happy second birthday to the National Synchrotron Light Source II (NSLS-II). Located at Brookhaven, NSLS-II is a DOE Office of Science User Facility that provides ultra-bright x-rays for cutting-edge science research.
Cavium Demonstrates NVMe Scale-out Technologies at VMworld
SAN JOSE, Calif., Aug. 28, 2017 – Cavium, Inc. (CAVM) will showcase a broad range of NVMe over Fabric solutions including FC-NVMe on Gen 6 Fibre Channel and NVMe over Fabrics concurrently over RoCE and iWARP on Cavium FastlinQ 45000/41000 Series Ethernet NICs at VMworld US 2017 in Cavium booth 1230. The conference takes place August 27-31, 2017 at the Mandalay Bay Hotel & Convention Center in Las Vegas, NV.
ORNL Researchers Turn to Deep Learning to Solve Science's Big Data Problem
Aug. 25 — A team of researchers from Oak Ridge National Lab oratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) project aims to use deep learning to assist researchers in making sense of massive datasets produced at the world’s most sophisticated scientific facilities.
IEEE Approves Standards Project for Quantum Computing Definitions
PISCATAWAY, NJ, Aug. 23 2017 — IEEE, the world’s largest technical professional organization dedicated to advancing technology for humanity, and the IEEE Standards Association (IEEE-SA), today announced the approval of the IEEE P7130—Standard for Quantum Computing Definitions project.
Ohio Supercomputer Center Helps Ohio State Researcher Share Knowledge
COLUMBUS, Ohio, Aug. 24, 2017 — Sultana Nahar, Ph.D. wants more scientific advances and discoveries, and she wants them now. Through physics and STEM courses and workshops, Nahar has been improving the computational skills of the scientific community one person at a time with the hope that more breakthroughs will be made. “We can solve more problems in science, we just need manpower,” said Nahar, a senior research professor in Ohio State’s Department of Astronomy.
NSF Announces $17.7M in Awards for Cross-disciplinary Data Sciences Projects
Today was a good day for National Science Foundation-funded cross-disciplinary research.
IT Industry Adds 14,400 Tech Jobs in July
ATLANTA, Aug. 24, 2017 — The IT industry added 14,400 jobs in July, according to preliminary numbers released by the U.S Bureau of Labor Statistics’ Economic Situation Report on Friday, August 4, 2017. The IT industry added 14,400 tech jobs in July, according to preliminary numbers released by the U.S Bureau of Labor Statistics’ Economic Situation Report on Friday, August 4, 2017.
Microsoft, Intel Unveil FPGA-driven Project Brainwave
We know about the seeming light-speed processing power of FPGAs and the natural fit they pose for data-dense AI workloads. But we also know that FPGAs present usability and programmability problems that flummox IT shops. It’s assumed that it would take the resource riches of a FANG (Facebook, Amazon/Azure (Microsoft), Netflix, Google) company to wrestle FPGAs into a practical technology for AI applications.
China Plans 2019 Exascale Machine To Grow Sea Power
The glory of having the world’s fastest supercomputer, as measured by the Linpack benchmark, has been China’s for four years running, first with the 33-petaflops Tianhe-2 and currently with the 93-petaflops TaihuLight. The country also set an ambitious exascale goal of 2020 and is funding at least three competing exascale prototypes (Sugon/AMD, Inspur/NUDT, Sunway/Wuxi). News out of China today indicates the nation could stand up a peak exaflop supercomputer even sooner.
ALICE Experiment Searches for Signal of Big Bang
August 23, 2017 – The world’s most powerful particle accelerator, the Large Hadron Collider (LHC), began running at CERN, the European Organization for Nuclear Research, in 2009. The LHC spends most of its time studying the puzzles of high-energy physics.
Supermicro Delivers 18 Million IOPS of Storage Performance in 2U Ultra Server
“To achieve the lowest possible latency, Supermicro’s new all-flash 1U and 2U Ultra servers are designed to support 20 directly attached hot-swap NVMe SSDs,” said Charles Liang, President and CEO of Supermicro.
SURFsara Chooses RING Object Storage To Propel Scientific Collaboration
SAN FRANCISCO, Aug. 23, 2017 — Scality, a world leader in object and cloud storage, today announced that Netherlands-based SURF, a collaborative IT organization for education and research, is using Scality RING object storage as its storage back-end to its SURFdrive cloud storage service under its SURFsara High Performance Computing division.
NCSA Conference to Highlight Business and Government Breakthroughs
Urbana, Ill., Aug. 23, 2017 — The National Center for Supercomputing Applications (NCSA) is excited to announce the 2017 NCSA Industry Conference which will take place October 11-12 on the University of Illinois at Urbana-Champaign campus. This year’s conference provides attendees with the opportunity to experience the transformative power of high performance computing and big data as we showcase how the NCSA Industry Program is giving industry and government a competitive edge.
Study Identifies Best Practices for Public-Private HPC Engagement
What’s the best way for HPC centers in the public sphere to engage with private industry partners to boost the competitiveness of the companies and the larger communities? That question is at the heart of a new study published today by the National Center for Supercomputing Applications (NCSA) in partnership with Hyperion Research.
Google Launches Site to Share its NYC-based Algorithm Research
Much of Google’s algorithm development occurs in groups scattered throughout New York City. Yesterday, Google launched a single website – NYC Algorithms and Optimization Team page – to provide a deeper view into all of the NYC-based groups work. The NYC Algorithms and Optimization Team comprises multiple overlapping research groups working on large-scale graph mining, large-scale optimization and market algorithms among other areas.
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