EVALUATING WINDOWS 10 LEARN WHY YOUR USERS NEED GPU ACCELERATION

Transcription

1 May Silicon Valley EVALUATING WINDOWS 10 LEARN WHY YOUR USERS NEED GPU ACCELERATION Jason Kyungho Lee, Sr Performance Engineer, NVIDAI Hari Sivaraman, Staff VMware

2 Introduction AGENDA Latest Announcements Windows 10 vs. Windows 7 Performance Testing Summary 2

3 TESLA LINEUP FOR GRID The most powerful data center GPUs targeted at graphics virtualization M10 M6 M60 GPU Quad Mid-level Maxwell Single High-end Maxwell Dual High-end Maxwell CUDA Cores 2560 (640 per GPU) (2048 per GPU) Memory Size 32 GB GDDR5 (8 GB per GPU) 8 GB GDDR5 16 GB GDDR5 (8GB per GPU) H p30 streams Max vgpu instances Form Factor PCIe 3.0 Dual Slot (rack servers) MXM (blade servers) PCIe 3.0 Dual Slot (rack servers) Power 225W 100W (75W opt) 240W / 300W (225W opt) Thermal passive bare board active / passive USER DENSITY Optimized BLADE Optimized PERFORMANCE Optimized 3

4 LATEST ANNOUNCEMENTS 5

5 LATEST ANNOUNCEMENTS Instant Clone Support (VMware Horizon 7.1) Allows ultra fast provisioning of virtual machines. NVIDIA is the only GPU vendor supported High Availability Support(VMware vsphere 6.5) vsphere 6.5 supports HA for NVIDIA GRID vgpu enabled virtual machines Multi Monitor support with Blast Extreme H.264 HW (VMware Horizon 7.1) Offload the H.264 encode to the NVIDIA GPU for improved and predictable UX S DELIVER A TRANSFORMATIVE 3D GRAPHICS USER EXPERIENCE WITH VMWARE HORIZON, BLAST EXTREME ADAPTIVE TRANSPORT, AND NVIDIA GRID S EXPERT AND CUSTOMER ROUNDTABLE: REAL-WORLD TALES OF GPU-ACCELERATED DESKTOPS AND APPS - IMPLEMENTERS SHARE BEST PRACTICES 6

6 WINDOWS 10 7

7 WINDOWS 10 NEW CHANGES Visual compelling Modern UI / Menu with transparency No Modern UI Disabling, assumption is you have GPU on Windows 10 GPU accelerated Virtual desktop / Task view / Alt-TAB preview Video playback GPU acceleration by default media player GPU accelerated font(dpi) and display scaling with Ultra high definition resolution Windows Device Driver Model WDDM 2.0 / DirectX 12 supported Microsoft Edge GPU acceleration 8

8 CPU host utilization % WINDOWS 10 REQUIRES MORE RESOURCES FOR IMPROVEMENT USER EXPERIENCE Windows 10 requires more CPU cycles Windows 10 requires more GPU frame buffer % more CPU utilization Time Windows 7 Windows 10 0 Windows 7 (single 1920x1080) Windows 10 (single 1920x1080) Windows 10 (single 2560x1600) Windows 10 (dual 1920x1080) 64 x Tesla M10-1B VMs on a host running LoginVSI knowledge worker workload 9

9 WINDOWS START BUTTON EXPERIENCE This is Side-by-Side 10

10 PERFORMANCE TESTING 11

11 TEST SETUP - SUBJECTIVE USER TESTING Two identical servers run LoginVSI Knowledge Worker to create a realistic customer environment CPU Utilization of the hosts is around 60-80% Testers don t know which session is GPU accelerated Testers do the same tasks on both systems Access Devices (Thin Client/Monitor/Mouse/Keyboard) are the same with a single screen and 1080p resolution Predefined scenarios plus freestyle at the end. Scenarios include (Browsing, YouTube, Creation of PowerPoint, Google Maps, WebGL) 12

12 CPU ONLY VS. NVIDIA GRID GPU with NVENC provide an average positive increase to UX of 34% % +5% +19% +65% +6% +21% +55% +26% +9% +13% +13% +30% +133% +68% User Experience Scale Unacceptable, unusable - fire someone in IT! Higher is better Barely useable, borderline, but I ll get tired of this soon 3 Tolerable, I guess I can make do 4 Pretty good for a virtual desktop 5 Outstanding - as good (or almost) as physical Horizon 7 with PCoIP - No GPU Horizon 7 with Blast Extreme and H.264 HW Testing ran on two identical systems, CPU system was loaded up to 60-80% utilization, the GPU system ran the same workload 13

13 CLICK TO PHOTON What it is and why it matters Click-to-Photon is more than network latency Click-to-Photon is a key metric that contributes to the overall user experience Click-to-Photon defines how interactive/snappy the solution is Click-to-Photon measures the overall latency from the user perspective Click-to-Photon measures the time of the mouse click till the action is visible to the user includes latency of the USB device process, rendering the frame, displaying the frame, etc. Click-to-Photon in remote environments (VDI, etc.) in addition includes encode latency, network latency and decode latency 15

14 CLICK TO PHOTON SIMPLIFIED CLICK-TO-PHOTON CAPTURES THE OVERALL LATENCY Access Device Mouse click processed Packetized and encoded Mouse button released Packet transmitted Packet Received Frame displayed Packed Decoded Network Latency on the WAN (i.e. 50ms) Network Latency on the WAN (i.e. 50ms) Server Packet Received Packet Decoded Mouse click processed Application New Frame rendered Frame Captured via NVIDIA NVFBC Frame Encoded via NVIDIA NVENC Frame transmitted 16

15 CLICK TO PHOTON SIMPLIFIED CLICK-TO-PHOTON CAPTURES THE OVERALL LATENCY Access Device Mouse click processed Packetized and encoded Mouse button released Packet transmitted Packet Received Frame displayed Packed Decoded Network Latency on the WAN (i.e. 50ms) Network Latency on the WAN (i.e. 50ms) CLICK-TO- PHOTON LATENCY Server Packet Received Packet Decoded Mouse click processed Application New Frame rendered Frame Captured via NVIDIA NVFBC Frame Encoded via NVIDIA NVENC Frame transmitted 17

16 CLICK TO PHOTON SIMPLIFIED CLICK-TO-PHOTON CAPTURES THE OVERALL LATENCY Access Device Mouse click processed Packetized and encoded Mouse button released Packet transmitted Packet Received Frame displayed Packed Decoded Network Latency on the WAN (i.e. 50ms) Network Latency Network Latency on the WAN (i.e. 50ms) CLICK-TO- PHOTON LATENCY Server Packet Received Packet Decoded Mouse click processed Application New Frame rendered Frame Captured via NVIDIA NVFBC Frame Encoded via NVIDIA NVENC Frame transmitted 18

17 CLICK TO PHOTON LATENCY Blast Extreme with NVENC decreases latency up to 140ms at <1ms network latency ms 200 Lower is better Local PC with Integrated GPU Blast Extreme No GPU - JPEG/PNG Blast Extreme M10-1B - JPEG/PNG Blast Extreme No GPU - H.264 Software Blast Extreme M10-1B - H.264 Software Blast Extreme M10-1B - H.264 Hardware 19

18 CLICK TO PHOTON LATENCY Comparing latency of single VM and at scale at <1ms network latency 300 ms Lower is better Local PC with Integrated GPU Blast Extreme No GPU - JPEG/PNG Blast Extreme M10-1B - JPEG/PNG 240 Blast Extreme No GPU - H.264 Software Blast Extreme M10-1B - H.264 Software 63 x Tesla M10-1B VMs on a host running LoginVSI knowledge worker workload and 1 additional VM measuring latency Blast Extreme M10-1B - H.264 Hardware Idle, 1 VM Scale, 64VMs 20

19 HOST CPU OFFLOADING Blast Extreme decreases CPU utilization on the host, up to 42% Lower is better NOGPU-PCoIP NoGPU-JPEG NOGPU-Blast-H.264 CPU GPU-BLAST-NVENC GPU-PCoIP GPU-JPEG GPU-BLAST-H.264CPU 63 x Tesla M10-1B VMs on a host running LoginVSI knowledge worker workload and 1 additional VM measuring latency 21

20 Percent One CPU core Time GUEST VM, REMOTING PROCESS CPU OFFLOADING Blast Extreme decreases CPU utilization on the VM Remoting process utilization(pcoip_server.exe or BlastW.exe) in Guest VM Lower is better Time NOGPU-PCoIP NoGPU-JPEG NOGPU-Blast-H.264 CPU GPU-BLAST-NVENC GPU-PCoIP GPU-JPEG GPU-BLAST-H.264CPU 63 x Tesla M10-0B VMs on a host running LoginVSI knowledge worker workload and 1 additional VM measuring latency 22

21 VIDEO PLAYBACK Up to 52% improved User Experience due to GRID vgpu and H.264 FPS is remoted FPS 23

22 FPS FPS VIDEO PLAYBACK Average FPS for a set of Videos Total FPS for a set of Videos JPG +vgpu 705 JPG +vgpu HW- H264 + vgpu 505 HW-H264 + vgpu JPG-NO vgpu 305 JPG-NO vgpu SW-H SW-H #VM #VM 24

23 CPU-Util (%) VIDEO PLAYBACK CPU-Util (%) for a set of Videos 25 JPG +vgpu HW- H264+vGPU 10 JPG-NO vgpu 5 SW-H #VM 25

24 VIDEOS 26

25 POWERPOINT ANIMATION This is Side-by-Side 27

26 VIDEO PLAYBACK AND OFF LOADING CPU This is Side-by-Side 28

27 SUMMARY 29

28 WINDOWS 10 IS DIFFERENT Windows 10 is Microsoft s most graphical operating system Windows is differs to Windows 10 requires more CPU resources Leveraged the GPU more NVIDIA GRID vgpu Improves user experience (as Microsoft intended) Reduces Click-to-Photon latency(snappy user interaction) Predictable and consistent user experience reduces CPU cycles to allow higher user density 6/9/

29 May Silicon Valley THANK YOU