Interactive, Exascale Ready, 3D Rendering Solutions Using Software Defined Visualization

June 11, 2018

Software Defined Visualization (SDVis), an open source initiative from Intel and industry collaborators, delivers breath-taking visual impact and interactivity for all scales of scientific and photorealistic data, and has been designed to support the coming massive data sizes of future Exascale capable machines.

A complex raytracing example using OSPRay scivis render PV 5.0-5.4+ (Image courtesy Kitware)
A complex raytracing example using OSPRay scivis render PV 5.0-5.4+ (Image courtesy Kitware)

“Our ability to generate data is increasing faster than our ability to store it” explains Professor Hank Childs, recipient of the Department of Energy’s Early Career Award to research visualization with exascale computers and Associate Professor in the Department of Computer and Information Science at the University of Oregon.

As Dr. Childs implies, dramatically reducing or eliminating data movement will become a necessary requirement to enable discovery through visual analysis as computational capability leaps ahead of data I/O speeds not only to permanent storage, but across even local peripheral buses like PCIe.   SDVis enables applications that can perform in-situ visualization where visualizing simulation data happens directly from simulation’s output memory on the same compute nodes that run the model or simulation. In-situ visualization represents the ultimate in HPC performance and scalability because time-consuming and massive data transfers are not required.

As a result, visualizations run faster. Plus SDVis application users can realize huge performance gains through the use of the Intel SDVis libraries’ efficient algorithms that exploit both the larger memory capacity of CPUs and the massive parallelism in Intel® processors and compute clusters.

David DeMarle, visualization luminary and lead Visual ToolKit (VTK*) engineer at Kitware makes this concrete, “We are entering the era, based on the data size, where the scalability and constant runtime of Software Defined Visualization often wins over GPUs for visualization”. He bases this statement on Kitware’s experience integrating open-source high-performance parallel software rendering libraries  OpenSWR, Embree, and OSPRay into VTK and the ParaView* visualization application.

We are entering the era, based on the data size, where the scalability and constant runtime of Software Defined Visualization (SDVis) often wins over GPUs for visualization – David DeMarle, Kitware

“Massive data poses a problem as it simply becomes impractical from a runtime point of view to move it around or keep multiple copies,” explains Jim Jeffers (Sr. Director and Sr. PE, Visualization Solutions at Intel). ‘It just takes too much time and memory capacity. This makes in-situ visualization a “must-have for exascale.”

Big is good, but big and interactive is even better!

Local and cloud-based demonstrations have shown that CPU rendering to an in-memory framebuffer with a display only device at a desktop or client is all that is required to interactively visualize even the most complex ray-traced photorealistic images. [i]

Jeffers notes that a small local eight node CPU cluster can deliver high-resolution, interactive frame rates for even photorealistic ray-traced images. Further, these same images can be interactively viewed on a laptop in Denver even when the rendering occurs remotely at the Texas Advanced Computing Center. Jeffers’ points out that scaling to 128 or more nodes enables frames rates as high as 100fps, “The 128-node images are fully interactive with photorealistic, ray traced quality, with no discernable rendering artifacts.”

Trillions of triangles

Raster-based OpenGL codes benefit from the same SDVis benefits of performance, scalability, and the ability to run anywhere. Basically just change the library path to the Mesa library with OpenSWR instead of a GPU accelerated library.

DeMarle explains why SDVis OpenGL is so fast, “Eliminating the need to transfer data to the GPU is the reason why OpenSWR can compete so effectively against GPU accelerated libraries”. He also observes that “scalability is another reason to consider OpenSWR” as “OpenGL performance does not trail off even when rendering meshes containing one trillion (10 ** 12) triangles on the Trinity leadership class supercomputer”.

Eliminating the need to transfer data to the GPU is one reason why OpenSWR can compete so effectively against GPU accelerated libraries. Scalability is another reason to consider OpenSWR. – David DeMarle, Kitware

Not everyone is using ray-tracing … yet! SDVis also provides a path from OpenGL only rendering to the creation of visually compelling photorealistic ray traced images using only free, production quality open-source software like ParaView.

Figure 2: Comparative images showing OpenGL vs. ParaView Path tracer render which illustrate the path from OpenGL-only rendering to the creation of visually compelling photorealistic ray traced images using only free, production quality open-source software like ParaView (Images courtesy Kitware)
Figure 2: Comparative images showing OpenGL vs. ParaView Path tracer render which illustrate the path from OpenGL-only rendering to the creation of visually compelling photorealistic ray traced images using only free, production quality open-source software like ParaView (Images courtesy Kitware)

Learn more about Software Defined Visualization here.


[i] Demonstrated at both SC’17 and the Intel® HPC Developer Conference in Denver, Colorado. SDVis performance and scalability confirmed by other third-parties such as the Beckman Institute and the University of Utah as well as the University of Stuttgart.

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!

Nvidia Debuts Turing Architecture, Focusing on Real-Time Ray Tracing

August 16, 2018

From the SIGGRAPH professional graphics conference in Vancouver this week, Nvidia CEO Jensen Huang unveiled Turing, the company's next-gen GPU platform that introduces new RT Cores to accelerate ray tracing and new Tenso Read more…

By Tiffany Trader

HPC Coding: The Power of L(o)osing Control

August 16, 2018

Exascale roadmaps, exascale projects and exascale lobbyists ask, on-again-off-again, for a fundamental rewrite of major code building blocks. Otherwise, so they claim, codes will not scale up. Naturally, some exascale pr Read more…

By Tobias Weinzierl

STAQ(ing) the Quantum Computing Deck

August 16, 2018

Quantum computers – at least for now – remain noisy. That’s another way of saying unreliable and in diverse ways that often depend on the specific quantum technology used. One idea is to mitigate noisiness and perh Read more…

By John Russell

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

Super Problem Solving

You might think that tackling the world’s toughest problems is a job only for superheroes, but at special places such as the Oak Ridge National Laboratory, supercomputers are the real heroes. Read more…

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with Hewlett Packard Enterprise (HPE) for a new 8-petaflops (peak) supercomputer that will be used to advance early-stage R&a Read more…

By Tiffany Trader

STAQ(ing) the Quantum Computing Deck

August 16, 2018

Quantum computers – at least for now – remain noisy. That’s another way of saying unreliable and in diverse ways that often depend on the specific quantum Read more…

By John Russell

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with Hewlett Packard Enterprise (HPE) for a new 8-petaflops (peak Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

SLATE Update: Making Math Libraries Exascale-ready

August 9, 2018

Practically-speaking, achieving exascale computing requires enabling HPC software to effectively use accelerators – mostly GPUs at present – and that remain Read more…

By John Russell

Summertime in Washington: Some Unexpected Advanced Computing News

August 8, 2018

Summertime in Washington DC is known for its heat and humidity. That is why most people get away to either the mountains or the seashore and things slow down. H Read more…

By Alex R. Larzelere

NSF Invests $15 Million in Quantum STAQ

August 7, 2018

Quantum computing development is in full ascent as global backers aim to transcend the limitations of classical computing by leveraging the magical-seeming prop Read more…

By Tiffany Trader

By the Numbers: Cray Would Like Exascale to Be the Icing on the Cake

August 1, 2018

On its earnings call held for investors yesterday, Cray gave an accounting for its latest quarterly financials, offered future guidance and provided an update o Read more…

By Tiffany Trader

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