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Commodity-SC Workshop, Mar00 Cluster-based Visualization Dino Pavlakos Sandia National Laboratories Albuquerque, New Mexico.

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Presentation on theme: "Commodity-SC Workshop, Mar00 Cluster-based Visualization Dino Pavlakos Sandia National Laboratories Albuquerque, New Mexico."— Presentation transcript:

1 Commodity-SC Workshop, Mar00 Cluster-based Visualization Dino Pavlakos Sandia National Laboratories Albuquerque, New Mexico

2 Commodity-SC Workshop, Mar00 High End Graphics Platforms Years/Compute Performance PC Graphics SGI Graphics 10 3 10 7 10 8 10 9 10 6 200420011999 3 Tflops 10 Tflops 100 Tflops Polygon Rendering Rate (Megapolys/Second)

3 Commodity-SC Workshop, Mar00 Rendering and Sorting Sort First Sort Middle Sort Last Polygon Rendering Pipe

4 Commodity-SC Workshop, Mar00 Tiled vs. Single / Composite Displays Renderer Display(s) Tiled Renderer Display Composite

5 Commodity-SC Workshop, Mar00 Data Exploration Architecture Reduced polys/data Compute Service User Work- station Simulate Compress Decompress User d  I render Vis. Service Dec/C D  D D  d D  I Archive Render Dec/C D  I Data Service ImagesPolys/ Data Data Archive Big Data

6 Commodity-SC Workshop, Mar00 Tightly Coupled Compute, Data Services and Visualization InfiniBand x12 Link Speed: 6 GB/s Bidirectional (3 GB/s each way) Aggregate bandwidth across vertical plane: 768 GB/s each way, with 256 (16 x 16) rows (exceeds I/O requirements) 16 rows

7 Commodity-SC Workshop, Mar00 Visualization/Data Service Clusters @ SNL Existing 16-node SGI/320 NT graphics cluster (GigE) 72 node Compaq/NT data service cluster (ServerNet) Coming 64 node graphics cluster (ASCI V1 Corridor) 8-16 node graphics cluster (open testbed)

8 Commodity-SC Workshop, Mar00 Cluster-based visualization issues Rendering scalability vs. interactive latency –Expect good results for rendering large data –Getting high frame rates (e.g. 60Hz) harder Dynamic resource management Desktop access to large resource Parallel/Scalable IO Parallel inter-process communication (runtime visualization & data services, computational experiments) Classified/Unclassified use

9 Commodity-SC Workshop, Mar00 Cluster-based Composite Rendering Simplistic Projection 16 node SGI/320 cluster Peak 4 Million polygons/sec. per node 16 x 4 = 64 Million polygons/sec. peak (perfect scaling) Assume –64 Million-Polygon surface data –Sort-last rendering (HW-accelerated) –1K x 1K Display Render 64M polygons in 1 sec. Add.84 sec. composite time (Compaq NT cluster / ServerNet) –gives 35M polygons/sec. Add.16 sec. composite time (ASCI Red) –gives 55M polygons/sec.

10 Commodity-SC Workshop, Mar00 Parallel Visualization Abstract Partitioning Model Data Repository/ Buffer Data Interface Simulation Code Visualization Module Data Service Module... Control Interface (Parallel Disk, Shared Memory, Dist. Memory Buffer, …) Abstract Data Space

11 Commodity-SC Workshop, Mar00 Do-It-All on C-Plant Instantiation Node 1 Node 2 Node N Disk 1 Disk 2 Disk N... Comp 1 Comp 2 Comp N Abstract Data Space

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