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Nvidia Tegra X2Architecture and Design
Jeff BarkerBarry Wu
Rochester Institute of Technology
Spring 2017
Agenda
I Overview
I CPU Complex (4x ARM A57 + 2x Denver 2)
I GPU Complex (Pascal GPU)
I ApplicationsI Nvidia Jetson TX2I Nvidia Drive PX2
I Closing Remarks and Questions
Nvidia Tegra X2 Overview
I Announced in April 2017 as credit cardsized system-on-module
I Improved on previous generation TegraX1 module with:
I Two additional Denver 2 CPU CoresI 8GB 128-bit LPDDR4 RAM
(compared to 4GB 64-bit)I 32GB eMMC storage (compared to
16GB)I Pascal GPU architecture (compared to
Maxwell)I Improved video encoding and decoding
Tegra X2 Block Diagram
ARM CPU Cores
I Quad Core ARM A57 64-bit Processor Cluster
I Multi-thread optimized ARMv8 architecture
I Superscalar, variable-length, out-of-order pipeline
I Dynamic branch prediction with Branch Target Buffer(BTB) and Global History Buffer RAMs, a return stack,and an indirect predictor
I 48KB 3-way set-associative L1 Instruction cache per core
I 32KB 2-way set-associative L1 Data cache per core
I 2MB 16-way set-associative shared L2 cache
Denver 2 CPU Cores
I Dual Core Denver 2 64-bit Processor Cluster
I Single-thread optimized ARMv8 architecture
I 7-wide Superscalar architecture
I Dynamic branch prediction with Branch Target Buffer(BTB) and Global History Buffer RAMs, a return stack,and an indirect predictor
I 128KB 4-way set-associative L1 Instruction cache per core
I 64KB 4-way set-associative L1 Data cache per core
I 2MB 16-way set-associative shared L2 cache
Pascal GPU Micro-architecture
Pascal GPU
I 16-nm FinFET manufacturing process
I 2 Streaming Multiprocessors (SM)
I 4 Streaming Multiprocessor Blocks (SMP) per SM
I 32 CUDA cores per SMP (256 CUDA cores total)
I Simplified data path
I Improved scheduling and overlapping load/store instruction
I Improved addressing and page fault handling
Jetson TX2 System-On-Module Block Diagram
Jetson Carrier Board
Jetson Carrier Board (cont.)
I InterfacesI HDMI 2.0, 2x DSI display portsI CSI2 D-PHY 1.2 camera portI CAN, UART, SPI, I2C, I2S, GPIOI USB 3.0, USB 2.0I Gigabit Ethernet, 802.11ac WLAN, Bluetooth
I ApplicationsI Computer VisionI Deep Learning/Neural NetworksI Autonomous DronesI Robotics
Nvidia Drive PX2
Nvidia Drive PX2 (cont.)
I Fully autonomous driving
I Auto-pilot FunctionalityI PerceptionI ReasoningI MappingI Driving
I Co-pilot FunctionalityI Face detectionI Head trackingI Gaze trackingI Lip reading
I Multimedia Control
Closing Remarks
I Extremely capable embedded platform processorI Two high power single thread optimized coresI Four low power multiple thread optimized coresI Nvidia Pascal GPU
I High performance for low power drawI Claimed 1.5 TFLOPS at 15 WattsI Twice the performance per watt compared to the Tegra X1
I Wide range of applications, especially with Jetson
I Higher cost for increased performance compared to otherembedded platforms
Questions?