NVIDIA Introduces Jetson TX2 Embedded Artificial Intelligence Computer

NVIDIA has just announced an upgrade to to their Jetson TX1 module, with Jetson TX2 “Embedded AI Computer” with Tegra X2 Parker SoC that either doubles the performance of its predecessor, or runs at more than twice the power efficiency, while drawing less than 7.5 watts of power. The company provided a comparison showing the differences between TX1 and TX2 modules. Jetson TX2 Jetson TX1 GPU NVIDIA Pascal, 256 CUDA cores NVIDIA Maxwell, 256 CUDA cores CPU HMP Dual Denver 2/2 MB L2 + Quad ARM® A57/2 MB L2 Quad ARM® A57/2 MB L2 Video 4K x 2K 60 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (12-Bit Support) 4K x 2K 30 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (10-Bit Support) Memory 8 GB 128 bit LPDDR4 58.3 GB/s 4 GB 64 bit LPDDR4 25.6 GB/s Display 2x DSI, 2x DP 1.2 / HDMI 2.0 / eDP 1.4 2x DSI, 1x eDP 1.4 / DP 1.2 …

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ARM TechCon 2014 Schedule – 64-Bit, IoT, Optimization & Debugging, Security and More

ARM Technology Conference (TechCon) 2014 will take place on October 1 – 3, 2014, in Santa Clara, and as every year, there will be a conference with various sessions for suitable engineers and managers, as well as an exposition where companies showcase their latest ARM based products and solutions. The detailed schedule for the conference has just been made available. Last year,  there were 90 sessions organized into 15 tracks, but this year, despite received 300 applications,  the organizers decided to scale it down a bit, and there will be 75 session in the following 11 tracks: Chip Implementation Debugging Graphics Heterogeneous Compute New Frontiers Power Efficiency Safety and Security Software Development and Optimization Software Optimization for Infrastructure and Cloud System Design Verification There are also some paid workshops that take all day with topics such as “Android (NDK) and ARM overview”, “ARM and the Internet of Things”, or “ARM Accredited Engineer Programs”. As usual, I’ve gone through the schedule …

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Nvidia to Give Away 50 Jetson TK1 Development Boards

Nvidia Jetson TK1 is a development board powered by Tegra K1 quad core Cortex A15 SoC including a 192-core Kepler GPU. This is one the the best, if not the best, ARM platform when it comes to GPU performance, GPGPU capabilities, and the only one I know of that supports OpenGL 4.4 “Desktop”, as well as Nvidia’s CUDA 6.0. You can buy the board for $192, but if you are a developer and have a project that could leverage and showcase Tegra K1 capabilities for computer vision solutions for robotics, medical devices, military, and automotive applications, you may well get one board for free via Nvidia’s Tegra K1 CUDA Vision Challenge. To apply, you need to submit your proposal via Nvidia’s TK1 vision challenge page by April 30, 2014. Please note, the contest is only open to US residents. The company will then consider the various proposals based on innovativeness, impact on research or industry, public availability, and quality of …

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Vivante Unveils Details About GC7000 Series GPU IP Family

Earlier this month, Vivante Corporation has announced several silicon partner integrations (but no names given) of its GC7000 Series GPU IP into SoCs targeting wearables, mobile, automotive, and 4K TV products, and provided some more details about its GC7000 family which supports features such as OpenGL ES 3.1 API, and hardware TS/GS/CS (tessellation / geometry / compute shader) extensions for Android. According to the company, they key benefits of their GC7000 GPU IP can be summarized as follows: True GPU Scalability – GC7000 Series products support limited silicon area to match form factor and market requirements. Products can snap to grid starting at 3.0 mm2 (28 nm) for the smallest single GPU GC7000 instance and grow in simple modular fashion for high end implementations to achieve what the company’s claims to be the the industry’s best PPA (power/performance/area). Smallest Licensable OpenGL ES 3.1 Cores with Geometry, Tessellation, and Compute Shaders – Die area of the GC7000 is reduced by 20% …

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$192 Nvidia Jetson TK1 Development Board with Tegra K1 Quad Core Cortex A15 SoC

Nvidia has just unveiled Jetson TK1 development kit powered by their 32-bit Tegra K1 quad core Cortex A15 processor with a 192-core Kepler GPU. This board targets computer-vision applications for robotics, medical, avionics, and automotive industries that can leverage the compute capabilities of the Kepler GPU. Jetson TK1 devkit specifications: SoC – Nvidia Tegra K1 SoC with 4-Plus-1 quad-core ARM Cortex A15 CPU, and Kepler GPU with 192 CUDA cores (Model T124) System Memory – 2 GB x16 memory with 64 bit width Storage – 16 GB 4.51 eMMC memory, SATA data + power ports, full size SD/MMC slot, and 4MB SPI boot flash. Video Output – HDMI port Audio – ALC5639 Realtek Audio codec with Mic in and Line out Connectivity – RTL8111GS Realtek GigE LAN USB – 1x USB 2.0 OTG port, micro AB, 1x USB 3.0 port, A Debugging – RS232 serial port, JTAG Expansion 1x Half mini-PCIE slot Expansion port with access to DP/LVDS, Touch SPI …

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OpenCL Accelerated SQL Database with ARM Mali GPU Compute Capabilities

We’ve previously seen GPU compute on ARM could improve performance for mobile, automotive and consumer electronics application. GPU compute offload CPU task that can be parallelized to the GPU using APIs such as OpenCL or RenderScript. Most applications that can leverage GPU compute are related to media processing (video decoding, picture processing, audio decoding, image reconigion, etc…), but one thing I did not suspect could be improve is database access. That’s what Tom Gall, Linaro, has achieved in a side project by using OpenCL to accelerate SQLite database operations by around 4 times for a given benchmark. The hardware used was a Samsung Chromebook with an Exynos 5250 SoC featurig a dual core Cortex A15 processor and an ARM Mali T604 GPU. CPU compute is only possible on ARM Mali T6xx and greater, and won’t work on Mali 400 / 450 GPUs. Other GPU vendors such as Vivante and Imagination technologies also support GPU compute in their latest processors. As …

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Practical Applications and Benchmarks of GPU Computing via RenderScript and OpenCL with ARM Mali-T6XX GPU

Since the announcement of ARM Mali-T604 in 2010, ARM has explained that GPGPU (General Purpose computing on GPU), aka GPU Compute, would be one of the key features of their new Mali graphics processor, and the company now expects GPGPU to become mainstream in embedded and mobile devices in 2014 and beyond. I’ve just come across a presentation by Roberto Mijat, technical marketing manager at ARM, entitled “Unleashing the benefits of GPU Computing with ARM Mali” which shows practical applications and use cases where the use of RenderScript, or OpenCL can make massive performance improvements, at much lower power consumption, over the same parallel tasks processed by the CPU only. Let’s have a look at some of the most interesting slides. GPU compute can be used for multiple applications in mobile, multimedia, and automotive sectors. GPU Compute for H.265 / HEVC HEVC aka H.265 is the next generation codec providing twice the bandwidth with the same quality compared to H.264. …

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Google Announces LG Nexus 5 Smartphone with Android 4.4 KitKat

Google has partnered with LG and Nestle to bring to market the latest Nexus 5 smartphone featuring Android 4.4 “Kitkat”, the latest, and brand new, release of Android. Let’s first have a look at the device, and then we’ll go through the new features and improvement brought by Android 4.4. LG Nexus 5 Nexus 5 has the following technical specifications: SoC – Qualcomm Snapdragon 800 @ 2.26GHz with Adreno 330 GPU @ 450MHz System Memory – 2GB RAM Storage – 16 to 32 GB flash, but no microSD slot Display – 4.95″ touchscreen display with 1920×1080 resolution, Gorilla Glass 3 Connectivity – Dual band 802.11a/b/g/n/ac WiFi (2.4G/5G), Bluetooth 4.0, NFC, and GPS Celullar Networks – 2G/3G/4G LTE. GSM, CDMA, WCDMA, and LTE in North America, and GSM, WCDMA, and LTE for the rest of the world. Camera – 8MP rear camera with Optical Image Stabilization (OIS) and 1.3MP front camera Video Output –  HDMI output (via SlimPort) Audio – Built-in …

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