Top500 Trends: Movement on Top, but Record Low Turnover

By Tiffany Trader

June 25, 2020

The 55th installment of the Top500 list saw strong activity in the leadership segment with four new systems in the top ten and a crowning achievement from the first number-one Arm-based machine, Fugaku (Riken/Fujitsu), however overall the list suffered a record low refresh rate.

Only 51 systems fell off the list this cycle (dipping below the list’s entry point of 1.23 petaflops). That’s the lowest replacement rate the project has seen since its start in 1993, according to Top500 co-author Erich Strohmaier.

Delivering the livestreamed Top500 session on Monday as part of the ISC 2020 proceedings, Strohmaier cited two reasons for the drop off in the refresh rate. “One, we have seen for the last five years reduced turnover in general, as people upgrade less frequently and then upgrade to larger systems, an effect of Dennard scaling breaking down and of progress and chip performance being much slower than it used to be.”

The second is the impact of the COVID-19 crisis with installations that have been delayed, or even canceled. “It’s hard for us to tell which one is what, presumably or hopefully it’s only a delay, and we might catch up in the future again, but we have to see about that. So we have a record low replacement rate,” he said.

That however, said Strohmaier, has not changed another observed trend of the last two decades, which is the increase in accumulation of performance at the top of the list with spending increasingly skewed towards the high-end.

Performance fraction of Top500 systems (source: Top500)

This chart, presented by Strohmaier, shows the performance of the number-one machines relative to the average of all 500, since the list’s inception twenty-seven years ago. The new number-one machine, Fugaku — benchmarked at 415.5 petaflops — leads the pack, contributing a record 18.7 percent of aggregate performance.

The accomplishment propels Japan into third place by installed performance (23.7 percent), just behind China (25.5 percent). The U.S. maintains its lead with 28.7 percent. Fujitsu, while occupying just 2.6 percent of the list by system share, leads on sheer flops with a 21.5 percent share, ahead of Lenovo (16 percent) and IBM (16 percent).

June 2020 top 100 research systems by chip architecture – aggregate performance share (source: Top500)

Segmenting the list by the top 100 research systems, the Arm architecture, which only entered the list a year-and-a-half ago, now dominates with a 31 percent performance share, in front of Power/Nvidia (21 percent) and Intel (17 percent).

Likewise Japan also reigns in the top 100 research machine slice with 33 percent, edging out the US (32 percent) and China (12 percent).

The 55th Top500 list may have a record low replacement rate, but with four new systems in the top ten, the turnover at the high-end is up again after a period of very low churn. Six months ago, there were no new machines in the top ten, and the only new entrants in the top 20 were slide-ups due to attrition (Japan’s K computer was decommissioned as was ORNL’s Titan).

Entering the top ten on the new list are:

The labels for the right-most columns are HPL (petaflops) and power (MW). Fugaku: 415.5 petaflops, 28.3 MW (Source: Top500, June 2020)

Fugaku. The new number one machine with 415.5 petaflops, Fugaku is powered by Fujitsu’s 48-core A64FX SoC. It is only the fourth Arm machine ever on the list and the first to grace the number one spot. In fact Fugaku — installed at RIKEN-CCS in Japan — swept top honors not only in High Performance Linpack (HPL), it also set records in HPCG, Graph500 and the new HPL-AI benchmark. Fugaku can also be found in the upper echelon of the Green500, coming in ninth with 14.67 gigaflops-per-watt.

HPC5. Manufactured by Dell and deployed by Italian energy firm Eni S.p.A , HPC5 delivered a Linpack rating of 35.5 petaflops. That makes it the fastest system in Europe and the fastest industry supercomputer. Energy-sector supers keep climbing in the supercomputing ranks, and HPC5 is the first such system to break into the top ten fold.

Selene. Sliding in at number seven with 27.58 HPL petaflops is another industry supercomputer, albeit of the tech industry. Made by and for Nvidia, Selene is an in-house asset for hardware design, model building and other projects. Based in the U.S., Selene is a DGX SuperPOD, powered by Ampere A100 GPUs and AMD’s Epyc Rome CPUs. The system commandeered a second-place ranking on the Green500, delivering 20.51 gigaflops-per-watt of performance.

Marconi-100. Turning in a Linpack score of 21.6 petaflops qualifies Marconi-100 for a ninth-place spot. Installed at the CINECA research center, Marconi was built by IBM with a combination of IBM Power9 processors and Nvidia V100 GPUs. Marconi-100 is purported to be largest academic supercomputer in Italy and in Europe.

And… the fifth new highest-ranked entrant to the list — Gadi — comes in at number 25 with 9.3 Linpack petaflops. Built by Fujitsu in partnership with Lenovo and installed at NCI Australia, Gadi is powered by Intel Xeon Cascade Lake processors and Nvidia V100 GPUs. Gadi is the most powerful supercomputer in the Southern Hemisphere.

This is the first list to cross an exaflops of HPL performance solely owing to the top 100 systems. The previous list (November, 2019) nearly crossed this threshold but fell just shy at 989 petaflops. Currently, the top 100 machines contribute 1.5 exaflops to the list with .4 of those, of course, coming from Fugaku. The top ten systems alone amass 942.6 petaflops.

The aggregate Linpack performance provided by all 500 systems is 2.22 exaflops, up from 1.65 exaflops six months ago. The Linpack efficiency of the entire list is up more than 3 points: 63.6 percent compared with 60.0 percent six months ago. In the same period, the Linpack efficiency of the top 100 segment ticked up from 68.1 percent to 71.3 percent. The number one system, Fugaku, delivers a healthy computing efficiency of 80.87 percent.

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!

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the University of Chicago, leads Chameleon. This innovative projec Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia 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…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Leading Solution Providers

Contributors

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire