Consortium Advances Spatial Computing Standard

By Tiffany Trader

December 10, 2013

A new programming standard, called the Open Spatial Programming Language (or OpenSPL), debuted today “to enable the next generation of high performance parallel spatial computers.”

The open standard was developed by the Open Spatial Programming Language (OpenSPL) consortium, which formed to promote the use of spatial computing among a wide set of users and to standardize the OpenSPL language. The overarching goal of the consortium is for spatial computing to become the industry standard for mission critical computations.

The entire effort hinges on the well-supported idea that the future of computing is parallel. OpenSPL is based on the concept that a program executes in space, rather than in time sequence. It takes the current paradigm and turns it on its head. Operations are assumed to be parallel unless specified as sequential. The consortium explains that this is similar to a factory floor where all operations take place in parallel, with each operation carrying out a piece of the overall process.

“Temporal Programming is a recipe for the execution of actions, whereas Spatial Programming builds a factory to execute the recipe,” is how the backers put it. “Conventional programs execute in 1 dimension, where time progresses forward following the instruction sequence. Spatial programming is programming in 2 dimensions, where data progresses forward in parallel across the fabric of an array or chip.”

It’s a revolutionary view of computing with the potential of yielding significantly higher performance, compute density and energy-efficiency compared to traditional instruction-processor machines. With deterministic throughput and low latency at low power, spatial computing is well-matched to line-rate data processing applications, such as that used in high performance computing, datacenter networking and the Internet of Things.

“OpenSPL enables us to build parallelized applications that fully take advantage of spatial computing technology with the ease of a high-level software project,” notes Ryan Eavy, executive director, Architecture, CME Group. A video on the consortium’s website explains the concept in greater detail.

Spatial programming is also green, according to the OpenSPL consortium, since the amount of computation per cubic foot of datacenter space is maximized. The right applications can experience two orders of magnitude improvement in computational density, reducing power consumption accordingly, say backers.

The OpenSPL consortium includes both industry and academic partners, and offers two levels of membership. Full members participate in all consortium activities, including voting, while observer members participate but may not vote. The consortium was founded by “full members” CME Group, Juniper, Chevron and Maxeler Technologies with Imperial College London, Stanford University, University of Tokyo and Tsinghua University contributing as “observer members.” The consortium is managed by a steering committee, currently chaired by Tamas Nemeth of Chevron.

Activity is building for the effort. The first OpenSPL Summer School will take place July 2014, at Imperial College London. Researchers, students, and members of OpenSPL will gather together to share experiences, work on application development, and continue to advance the space computing paradigm.

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!

InfiniBand Still Tops in Supercomputing

July 19, 2018

In the competitive global HPC landscape, system and processor vendors, nations and end user sites certainly get a lot of attention--deservedly so--but more than ever, the network plays a crucial role. While fast, perform Read more…

By Tiffany Trader

HPC for Life: Genomics, Brain Research, and Beyond

July 19, 2018

During the past few decades, the life sciences have witnessed one landmark discovery after another with the aid of HPC, paving the way toward a new era of personalized treatments based on an individual’s genetic makeup Read more…

By Warren Froelich

WCRP’s New Strategic Plan for Climate Research Highlights the Importance of HPC

July 19, 2018

As climate modeling increasingly leverages exascale computing and researchers warn of an impending computing gap in climate research, the World Climate Research Programme (WCRP) is developing its new Strategic Plan – and high-performance computing is slated to play a critical role. Read more…

By Oliver Peckham

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Are Your Software Licenses Impeding Your Productivity?

In my previous article, Improving chip yield rates with cognitive manufacturing, I highlighted the costs associated with semiconductor manufacturing, and how cognitive methods can yield benefits in both design and manufacture.  Read more…

U.S. Exascale Computing Project Releases Software Technology Progress Report

July 19, 2018

As is often noted the race to exascale computing isn’t just about hardware. This week the U.S. Exascale Computing Project (ECP) released its latest Software Technology (ST) Capability Assessment Report detailing progress so far. Read more…

By John Russell

InfiniBand Still Tops in Supercomputing

July 19, 2018

In the competitive global HPC landscape, system and processor vendors, nations and end user sites certainly get a lot of attention--deservedly so--but more than Read more…

By Tiffany Trader

HPC for Life: Genomics, Brain Research, and Beyond

July 19, 2018

During the past few decades, the life sciences have witnessed one landmark discovery after another with the aid of HPC, paving the way toward a new era of perso Read more…

By Warren Froelich

D-Wave Breaks New Ground in Quantum Simulation

July 16, 2018

Last Friday D-Wave scientists and colleagues published work in Science which they say represents the first fulfillment of Richard Feynman’s 1982 notion that Read more…

By John Russell

AI Thought Leaders on Capitol Hill

July 14, 2018

On Thursday, July 12, the House Committee on Science, Space, and Technology heard from four academic and industry leaders – representatives from Berkeley Lab, Argonne Lab, GE Global Research and Carnegie Mellon University – on the opportunities springing from the intersection of machine learning and advanced-scale computing. Read more…

By Tiffany Trader

HPC Serves as a ‘Rosetta Stone’ for the Information Age

July 12, 2018

In an age defined and transformed by its data, several large-scale scientific instruments around the globe might be viewed as a ‘mother lode’ of precious data. With names seemingly created for a ‘techno-speak’ glossary, these interferometers, cyclotrons, sequencers, solenoids, satellite altimeters, and cryo-electron microscopes are churning out data in previously unthinkable and seemingly incomprehensible quantities -- billions, trillions and quadrillions of bits and bytes of electro-magnetic code. Read more…

By Warren Froelich

Tsinghua Powers Through ISC18 Field

July 10, 2018

Tsinghua University topped all other competitors at the ISC18 Student Cluster Competition with an overall score of 88.43 out of 100. This gives Tsinghua their s Read more…

By Dan Olds

HPE, EPFL Launch Blue Brain 5 Supercomputer

July 10, 2018

HPE and the Ecole Polytechnique Federale de Lausannne (EPFL) Blue Brain Project yesterday introduced Blue Brain 5, a new supercomputer built by HPE, which displ Read more…

By John Russell

Pumping New Life into HPC Clusters, the Case for Liquid Cooling

July 10, 2018

High Performance Computing (HPC) faces some daunting challenges in the coming years as traditional, industry-standard systems push the boundaries of data center Read more…

By Scott Tease

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17

Altair

AMD @ SC17

AMD

ASRock Rack @ SC17

ASRock Rack

CEJN @ SC17

CEJN

DDN Storage @ SC17

DDN Storage

Huawei @ SC17

Huawei

IBM @ SC17

IBM

IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17

Intel

Lenovo @ SC17

Lenovo

Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17

Microsoft

Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17

Supericro

Tyan @ SC17

Tyan

Univa @ SC17

Univa

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This