1. http://prophesy.cs.tamu.edu Xingfu Wu Xingfu Wu, Valerie Taylor Department of Computer Science Texas A&M University Third Annual Workshop on OptIPuter Networing/Backplane Architecture UCSD, January 25, 2005 Performance Analysis and Monitoring of Volatile

2. http://prophesy.cs.tamu.edu Xingfu Wu Network Configuration OPT2 (10.10.1.2) OPT3 (10.10.1.3) OPT4 (10.10.1.4) Gigabit Switch (10.0.0.1) Optiputer Internet cs.tamu.edu eth1:10.10.1.6eth0: 128.194.142.24 OPT1 (10.10.1.1) Optical Network (LEARN) CPU (dual Opteron 240 MHz) Applicationdriver GPU (nVidia Quadro FX 3000) 256MB 256MB Video Memory On-chip Cache Memory

3. http://prophesy.cs.tamu.edu Xingfu Wu Snapshot of Volatile on 5-nodes

4. http://prophesy.cs.tamu.edu Xingfu Wu Three Components of Volatile Volvis: main program Volvis: main program  Rendering  Scalable displaying  User interaction Optistore: data server Optistore: data server  Assist visualization dataset handling such as data management, processing, representation and transport  Filter raw volumetric data and produce visual objects Transfer Function Editor (tfUI) Transfer Function Editor (tfUI)  User interface for transfer function selection

5. http://prophesy.cs.tamu.edu Xingfu Wu Different Access Scenarios Master Server Gigabit Network VolvistfUI Optistore Client1 Volvis Optistore Client2 Volvis Optistore Client3 Volvis Optistore Client4 Volvis Optistore Scenario 2 Scenario 1

6. http://prophesy.cs.tamu.edu Xingfu Wu Different Access Scenarios Master Gigabit Network Volvis tfUI Optistore Slave1 Volvis Slave3 Volvis Slave4 Volvis Slave2 Volvis Scenario 3

7. http://prophesy.cs.tamu.edu Xingfu Wu Raw Datasets NameDimensionsSize (KB) Protein64x64x6464x64x64256 Fuel64x64x6464x64x64256 Furdave160x255x75160x255x752989 Foot256x256x256256x256x25616384 Geo256x256x256256x256x25616384 Geo440x290x198440x290x19824673

8. http://prophesy.cs.tamu.edu Xingfu Wu Data access time

9. http://prophesy.cs.tamu.edu Xingfu Wu Comparison of three scenarios

10. http://prophesy.cs.tamu.edu Xingfu Wu Comparison of three scenarios

11. http://prophesy.cs.tamu.edu Xingfu Wu Snapshot of Performance Monitoring

12. http://prophesy.cs.tamu.edu Xingfu Wu Short-term Plans Port the instrumented Volatile to a large- scale optiputer testbed for analysis (3/2005) Port the instrumented Volatile to a large- scale optiputer testbed for analysis (3/2005) Analyze the performance of JuxtaView and LambdaRam applications (6/2005) Analyze the performance of JuxtaView and LambdaRam applications (6/2005) Where possible, develop models of data accesses for the different visualization applications (9/2005) Where possible, develop models of data accesses for the different visualization applications (9/2005) Continue collaborating with Jason’s group about viz applications (12/2005) Continue collaborating with Jason’s group about viz applications (12/2005)

13. http://prophesy.cs.tamu.edu Xingfu Wu Long-term Plans Year 3:  Continue with analyzing Volatile on large-scale OptIPuter testbed  Work with Jason and Luc on redesigning Volatile  Start working on JuxtaView and LambdaRam Year 4:  Work with new Volatile, LambdaRam, JuxtaView on large-scale OptIPuter testbed  Where possible, develop models of data accesses for different viz applications Year 5:  Continue collaborating with Jason’s group about viz applications  Integrate performance monitoring with software stack to aid in making performance directed decisions