Startup Aims to Transform HPC Programming

By Michael Feldman

August 11, 2011

Indiana-based MNB Technologies is a small company with big aspirations. The soon-to-be-public corporation is developing an expert-system based development suite designed to greatly simplify the programming of HPC accelerators, in particular FPGAs and GPU. To that end, the company recently announced the beta availability of its flagship product, hprcARCHITECT.

In essence, hprcARCHITECT replaces the grunt work performed by technical programmers to glue the low-level FPGA and/or GPU code to the higher-level application code. The tool offers a visual interface for application developers to design programs independent of hardware concerns. In essence, hprcARCHITECT takes the high-level design and applies it against a software repository of kernels, low-level routines, algorithms and code fragments to build the application.

According the Nick Granny, MNB’s chief technology officer, the rationale for the tool is based on the fact that there are different workflows taking place during application development and they need to be approached differently. The first workflow is the development of the application architecture itself, which requires intimate knowledge of the engineering or science behind that application and a lot of creativity. That has to be performed by a real live person, in this case a domain expert.

The second workflow has to do with creating the low-level algorithms, like FFTs and Smith-Waterman routines, which require hardware expertise to extract the optimal performance. That’s creative too, Granny says, but the algorithms only need to be developed once. After they’re written, they can be shared across many applications via a software library or repository.

The final workflow is bundling the software pieces together into the application. Granny says they came to the realization that given a pre-existing repository, the bundling workflow could be automated with an intelligent programming design tool. “All of a sudden we had this a-ha moment,” he says.

The impetus behind hprcARCHITECT came about a few years ago after the US Air Force solicited a proposal for FPGA algorithms to be used for reconfigurable computing. Granny says they responded not be offering a library, but by throwing out the conventional HPC development process and offering a expert systems-based framework in its place. MNB got the work and delivered its first prototype to the Air Force at the end of February.

In a nutshell, the methodology of hprcARCHITECT is to capture the knowledge of the application architecture in plain English (or French, German, or whatever). This is achieved through a graphical interface consisting a virtual whiteboard and sticky notes in which the designer creates a high-level description of the application. This includes the processes and algorithms to be used as well as the rules, facts, and assertions that define their use. With that in hand, the designer then specifies the computational hardware (specific GPUs and/or FPGAs) and the target system (circuit boards, interconnects, nodes and so on) on which the application will run.

The expert system then maps that description to the available algorithms contained in a repository and glues the application together. The repository is more than just a library of algorithms though. It also consists of a software store (known as the Marketplace), where contributors can submit software components — either open source versions or proprietary one for profit — which can subsequently be accessed by other users. The repository is also where MNB tools, like hprcARCHITECT, can be purchased. Transactions are done via Google Checkout.

Getting a critical mass of useful algorithms for GPUs and FPGAs is key to MNB’s success. In cases where algorithms specified by the application design are not available in the repository, the application designers will be forced to implement these components themselves or contract out for their development.

In general, repository users will pay a token fee for open source code or a buy license for those algorithms contributed in the for-profit model. The cost is determined by the individual contributor, with MNB taking a small commission. Private repositories, developed for use within a specific organization, can also be set up, but don’t include the Marketplace feature.

The initial MNB public repository is the result of the Air Force work, but the company is hoping a little cottage industry will develop where developers will submit their work — free or otherwise — to expand the breadth of algorithms available. Active contributors get access to the repository for free. If they quit being active, then they’ll need to start paying.

The idea of a software repository is certainly not new. A number of HPC vendors offer GPU and FPGA libraries for sale. There are also public libraries available, like netlib.org, a DOE-funded repository of open source routines for science and engineering. High-level development frameworks are available, as well, for both GPUs and FPGAs. What MNB brings to the table is the combination of these components into a single integrated environment.

Although their first customer was in the federal government, the company is aiming the product primarily at HPC users outside the big national labs and R&D centers, in particular, at commercial HPC users, who are buying small or modest-sized systems accelerated with GPUs and FPGAs. Typically these will be sub-$50K machines sitting besides someone’s desk, but with enough computational horsepower to do some serious number crunching. Pharmaceutical firms using HPC for drug discovery or banks doing portfolio risk analysis are two types of organizations making good use of this new breed of accelerated machines.

In general, these types organization don’t have the technical computing talent to deal with exotic hardware like GPUs and FPGAs. The learning curve of programming in Verilog or even CUDA is enough to scare many small organizations away from HPC accelerators. MNB is hoping their turnkey development suite will look attractive to such customers.

To get the product off the ground, MNB is using about $1.5 million in combined funding from the Air Force, Navy, and the State of Indiana 21st Century Research & Technology. The main effort now is being directed at building up the repository. While there are plenty of open source GPU libraries to tap, robust FPGA routines are much harder to come by. “In the open source world of FPGAs, you pretty much get what you pay for,” says Granny.

Currently, he is in discussion with a number of FPGA firms that are interested in getting their libraries supported by MNB. Software components implemented for conventional HPC, i.e., CPU-based, are possible too, given the hardware-independent nature of the framework. “If somebody thinks they have is a market for it, I’ll put it in the repository,” says Granny.

Impulse Accelerated Technologies, an FPGA tool provider, is evaluating the MNB suite for integration with its Impulse-C code generator, a model MNB hopes to generalize with other software tool makers. In general though, the company expects to offer hprcARCHITECT, the repository, and their associated toolset via direct sales, but mostly through VARs.

Granny says the technology is currently being evaluated at “one of the largest privately-funded R&D centers in the country.” He expects the product to be generally available within the next few months.

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!

ExxonMobil, NCSA, Cray Scale Reservoir Simulation to 700,000+ Processors

February 17, 2017

In a scaling breakthrough for oil and gas discovery, ExxonMobil geoscientists report they have harnessed the power of 717,000 processors – the equivalent of 22,000 32-processor computers – to run complex oil and gas reservoir simulation models. Read more…

By Doug Black

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

HPE Extreme Performance Solutions

Object Storage is the Ideal Storage Method for CME Companies

The communications, media, and entertainment (CME) sector is experiencing a massive paradigm shift driven by rising data volumes and the demand for high-performance data analytics. Read more…

Weekly Twitter Roundup (Feb. 16, 2017)

February 16, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

Alexander Named Dep. Dir. of Brookhaven Computational Initiative

February 15, 2017

Francis Alexander, a physicist with extensive management and leadership experience in computational science research, has been named Deputy Director of the Computational Science Initiative at the U.S. Read more…

Here’s What a Neural Net Looks Like On the Inside

February 15, 2017

Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept maps to a new graph processor and graph programming framework it’s creating. Read more…

By Alex Woodie

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

Cray Posts Best-Ever Quarter, Visibility Still Limited

February 10, 2017

On its Wednesday earnings call, Cray announced the largest revenue quarter in the company’s history and the second-highest revenue year. Read more…

By Tiffany Trader

HPC Cloud Startup Launches ‘App Store’ for HPC Workflows

February 9, 2017

“Civilization advances by extending the number of important operations which we can perform without thinking about them,” Read more…

By Tiffany Trader

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

KNUPATH Hermosa-based Commercial Boards Expected in Q1 2017

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more…

By John Russell

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

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