Adaptive Computing Combines Technologies with HP

June 24, 2014

LEIPZIG, Germany, June 24 — Adaptive Computing, the company that powers many of the world’s largest private/hybrid cloud and technical computing environments with its Moab optimization and scheduling software, today announced it has combined technologies with HP to deliver greater performance and higher throughput by running Adaptive’s Nitro on HP Apollo Systems. The technology combo of Moab 8.0 and the HP Apollo Systems allows users to achieve even greater power savings due to the new power management capabilities in Moab 8.0 coupled with the HP Apollo ultra low-energy usage. In addition, Adaptive is providing HP Helion Self-Service HPC Solution implementation and management services. Adaptive Computing and HP will be exhibiting at the International Supercomputing Conference (ISC) 2014 from June 22–26, 2014 in Leipzig, Germany in Adaptive’s booth # 710 and HP booth # 350, where these new capabilities will be on display.

“HP and Adaptive Computing have had a long-standing partnership. Our tight integration and relationship allow us to accelerate insights and further deliver on our Big Workflow promise to process intense simulations and data analysis faster, more accurately and most cost effectively,” says Rob Clyde, CEO of Adaptive Computing. “The new developments of HP Apollo and Moab 8.0 help business achieve greater efficiency and performance to speed the time to discovery.”

HP Apollo Family

The HP Apollo family of high-performance computing (HPC) systems are capable of delivering up to four times theperformance of standard rack servers while using less space and energy. The new offerings reset data center expectations by combining an innovative modular design with breakthrough power distribution and cooling techniques. These innovations let the HP Apollo portfolio deliver superior performance and density at a lower total cost of ownership.

HP Apollo builds on HP’s legacy of server leadership and innovation, leading the market in the creation of x86 servers, blade servers and HP Moonshot extreme lower-power, software defined servers. The new HP Apollo portfolio includes the air-cooled HP Apollo 6000 System, which maximizes performance efficiency and makes HPC capabilities accessible to a wide range of enterprise customers. The HP Apollo 8000 System, a supercomputer that combines high levels of processing power with a groundbreaking water-cooling design for ultra-low energy usage.

“HP values its relationship with Adaptive Computing as scheduling and optimization is a key component to maximizing utilization and streamlining the simulation and analysis process,” says Scott Misage, general manager, High Performance Computing, HP. “The combination of HP Apollo and Moab enhance the performance, savings, and abilities of the already highly efficient Apollo Systems.”

Nitro Fuels HP Apollo

Adaptive’s new Nitro advanced high throughput computing delivers 100 times faster job throughput for short computing jobs. Nitro is a localized decision-making tool that enables high-speed throughput on short computing jobs. Capable of running on Moab, Torque and other non-Adaptive environments, Nitro launches 10 jobs per node per second for up to 100x faster throughput, all while reducing latency. This results in greater efficiency when executing short jobs, which are very common for today’s workloads, running for a handful of seconds and requesting few resources. By combining Nitro with the HP Apollo Systems, even greater performance and higher throughput for short computing jobs is achieved in a smaller footprint.

HPC as a Service

Adaptive Computing is participating in the new HP Helion Self-Service HPC solution that empowers organizations to rapidly deliver more competitive products and insights by making high-performance computing (HPC) resources more agile and easier to access via an HPC-optimized private cloud. This new solution provides a self-service portal that enables HPC resources to be used as easily as a familiar application—thereby making them accessible for more staff. The solution also allows HPC to be accessible and manageable for organizations by giving them the choice to manage it themselves or have HP HPC experts implement and manage it for them through a pay-for-use model that lets them stay focused on delivering products and innovation. Adaptive Computing is providing workload scheduling and optimization middleware software for the solution due to its tight integration with HP software and hardware.

Advanced Power Management

Moab 8.0 creates energy cost savings up to 15-30 percent with new clock frequency control and additional power state options. With clock frequency control, administrators can adjust CPU speeds to align with workload processing speeds through job templates. In addition, administrators can manage multiple power states and automatically place compute nodes in new low-power or no-power states (suspend, hibernation and shutdown modes) when nodes are idle. Combining Moab 8.0 with the HP Apollo Systems, energy constraints become more manageable.

About Adaptive Computing

Adaptive Computing powers many of the world’s largest private/hybrid cloud and technical computing environments with its award-winning Moab optimization and scheduling software. Moab enables large enterprises in oil and gas, financial, manufacturing, and research as well as academic and government to perform simulations and analyze Big Data faster, more accurately and most cost effectively with its Technical Computing, Cloud and Big Data solutions for Big Workflow applications. Moab gives users a competitive advantage, inspiring them to develop cancer-curing treatments, discover the origins of the universe, lower energy prices, manufacture better products, improve the economic landscape and pursue game-changing endeavors.

Source: Adaptive Computing

Subscribe to HPCwire's Weekly Update!

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

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in 2017 with scale-up production for enterprise datacenters and Read more…

By Tiffany Trader

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the pit of your stomach, or at least give you pause. There’s g Read more…

By Sean Thielen

Trinity Supercomputer’s Haswell and KNL Partitions Are Merged

July 19, 2017

Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated are now available for use on classified work in the Nationa Read more…

By HPCwire Staff

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's output. The Japanese multinational has made a raft of HPC and A Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Servers Deliver High Performance Remote Visualization

Whether generating seismic simulations, locating new productive oil reservoirs, or constructing complex models of the earth’s subsurface, energy, oil, and gas (EO&G) is a highly data-driven industry. Read more…

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the computer we use most (hopefully) and understand least. This mon Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee of the House of Representatives voted to accept the recomme Read more…

By Alex R. Larzelere

Summer Reading: IEEE Spectrum’s Chip Hall of Fame

July 17, 2017

Take a trip down memory lane – the Mostek MK4096 4-kilobit DRAM, for instance. Perhaps processors are more to your liking. Remember the Sh-Boom processor (1988), created by Russell Fish and Chuck Moore, and named after Read more…

By John Russell

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provides participants the opportunity to network with industry lea Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the Read more…

By Sean Thielen

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's out Read more…

By Tiffany Trader

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee Read more…

By Alex R. Larzelere

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provid Read more…

By Tiffany Trader

Satellite Advances, NSF Computation Power Rapid Mapping of Earth’s Surface

July 13, 2017

New satellite technologies have completely changed the game in mapping and geographical data gathering, reducing costs and placing a new emphasis on time series Read more…

By Ken Chiacchia and Tiffany Jolley

Intel Skylake: Xeon Goes from Chip to Platform

July 13, 2017

With yesterday’s New York unveiling of the new “Skylake” Xeon Scalable processors, Intel made multiple runs at multiple competitive threats and strategic Read more…

By Doug Black

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This