Video: Lenovo, NVIDIA & Beckman Coulter showcase healthcare solutions

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2 Video: Lenovo, NVIDIA & Beckman Coulter showcase healthcare solutions 2

3 Lenovo ThinkStation 3

4 LENOVO THINKSTATION RELIABLE AND POWERFUL Lenovo ThinkStation S30 Lenovo ThinkStation C30 Lenovo ThinkStation D30 S30: Essential Workstation Single Intel Xeon E5-16xx/26xx CPU Up to two NVIDIA Quadro cards Up to 128GB memory 610W 90% efficient power supply C30: World s Smallest Dual Processor Up to two Intel Xeon E5-26xx CPUs Up to two Quadro 5000 cards Up to 128GB memory 800W 90% efficient power supply D30: Extreme Speed. Powerful graphics. Up to two Intel Xeon E5-26xx CPUs Up to two Quadro 6000 cards Up to 256GB memory 1120W 90% efficient power supply 4 thinkstation-specs.com

5 THINKSTATION MAXIMUS CONFIGURATIONS ThinkStation C2075 Q600 Q2000 Q4000 Q5000 Q6000 S30 C30 D30 5

6 Price / Performance VERTICAL INDUSTRY COVERAGE Manufacturing & Design (CAD/CAM) Media & Entertainment (DCC) Finance Science and Medical Electronics & IT Energy, Oil & Gas GIS D30 D30 C30 S30 E30 6

7 SCIENCE AND MEDICAL Pharmaceutical Medical Imaging Radiology Labs Life Sciences 7

8 What is Flow Cytometry? What is Kaluza? Why is acceleration important? How did Maximus help?

9 FLOW CYTOMETRY is technique for interrogating particles suspended in fluid as they flow past a focus of exciting light. What if the particles are cells? 9

10 TOOL FOR CANCER RESEARCH Flow Cytometry allows us to measure - Cell size - Internal complexity - Absence / presence of proteins Blood Cells 10

11 HOW IT WORKS Sample 11

12 HOW IT WORKS PMT 5 PMT 4 Sample Flow cell Dichroic Filters PMT 2 PMT 3 Computer Scatter Sensor Band pass Filters PMT 1 Laser 12 Adapted from J. Paul Robinson, Purdue

13 DETECTION OF SURFACE PROTEINS Cells Antibodies Conjugated Cells 13

14 ANTIBODIES WITH FLUORESCENT MOLECULE 14

15 DETECTION OF SURFACE PROTEINS Cells Antibodies with fluorescent molecule Conjugated fluorescent cells 15

16 THE DATA Multi-parametric up to 10 dimensions Length # cells Each entry = 4 bytes 10 Million Cells x 10 Measurements x 4 bytes = 400 MB 16

17 WHAT IS KALUZA? A flow cytometry analysis application that allows scientists to identify cellular subpopulations and the related disease state. Demo 17

18 GPU Acceleration (Maximus) allows Kaluza to be 400 times faster. Kaluza GUI Compute Engine Interface Intel Tesla 18

19 WHY IS ACCELERATION IMPORTANT? Minimal Residual Disease & Remission Speed encourages larger sample sizes Interactivity aids discovery of subtle patterns Magnifying Glass or Electron Microscope? 19

20 ANATOMY OF THE KALUZA COMPUTATION PIPELINE Yes Needs Computation? No UI Compensation Compute Gates Compute Plots Compute Stats 20

21 COMPENSATION Compensation Compute Gates Compute Plots Compute Stats D = D * K D = Raw measurement data (R rows, C columns) K = Compensation matrix (C rows, C columns) D = Compensated data (R rows, C columns) Computational Complexity O(R*C*C) R may be 10,000,000 cells we are examining C may be 10 measurements 21

22 COMPUTE GATES Compensation Compute Gates Compute Plots Compute Stats for each gate G[i] that changed { for each cell C[j] { Perform Linear or Log transform on C[j] Classify C[j] with respect to G[i] } } #Gates may be (typically), 320 (max) #Cells may be 10,000,000 22

23 COMPUTE PLOTS Compensation Compute Gates Compute Plots Compute Stats for each plot P[i] { for each cell C[j] { Perform Linear or Log transform on C[j] if C[j] is in the Gate on P[i] then Plot C[j] on P[i] } } #Plots may be #Cells may be 10,000,000 23

24 COMPUTE STATS Compensation Compute Gates Compute Plots Compute Stats for each statistic S[i] { for each cell C[j] { Perform Linear or Log transform on C[j] if C[j] is in the Gate on [i] then Compute statistic S[i] on C[j] } } #Stats may be #Cells may be 10,000,000 24

25 15 FPS: COMPUTATIONAL REQUIREMENTS Let us say we have 10,000,000 Cells 8 Colors Logarithmic Transform 28 2D Plots + 8 Histograms ~215 GigaFLOPS 25

26 SUMMARY Introduction to flow cytometry Kaluza + Maximus = Better Science 26

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28 Tanmay Dharmadhikari Beckman Coulter Senior Software Development Engineer Scott Ruppert Lenovo ThinkStation Technical Solutions Manager 28