Intel IOT solutions

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UP Squared AI Vision X Developer Kit

Embedded Box Computers UP Squared AI Vision X developer kit with Intel ATOM x7-E3950, on board 8GB DDR4, 64GB eMMC, with myriad X inside, HD Camera, pre-load Ubuntu image, 5V6A Power supply, EU+US Power cord.
The “UP Squared AI Vision X Developer Kit” is a hardware and software development kit designed for AI (Artificial Intelligence) and computer vision applications. This kit typically includes an UP Squared single-board computer (SBC) or a similar compute module, along with additional components and software tools specifically tailored for AI and computer vision development. Developers can use this kit to build and experiment with AI-powered applications, such as image recognition, object detection, and more. It provides a convenient platform for prototyping and testing AI and computer vision projects.
 

UP Xtreme Edge Compute Enabling Kit

This kit provides developers with a platform to create and experiment with edge computing solutions, making it easier to develop applications that require immediate processing and decision-making capabilities. It often comes with pre-installed software and tools to streamline development for edge scenarios, making it a valuable resource for those working on edge-based projects.

UP Xtreme i11 Edge Compute Enabling Kit is a Intel Certified Developer Kit with pre-installed Ubuntu OS and software package, including Intel Edge Insights for Vision and other software ingredients.

For boost AI performance, we also offer SKU option with AI accelerator and Intel® Distribution of OpenVINO™ toolkit, it accelerates Computer Vision (CV) and Deep Learning Inference from Edge to Cloud. It also offers pre-trained models, and pre-optimized kernels to increase performance for AI.

UP Xtreme i11 & UP Squared 6000 Robotic Development Kits

UP Xtreme i11 Robotic Development Kit with Intel® Core™ i7-1185GRE, 16GB (8G * 2) SO-DIMM DDR4, 128GB 2.5” SSD, with Wi-Fi module, Intel® RealSense™ Camera, Omni directional Wheel Robot Car(Motor Control Board, Wheels, Motor) and pre-loaded Ubuntu image(supported Intel AMR SDK).

UP Squared 6000 Robotic Development Kit with Intel® ATOM™ x6425E, onboard 8GB DDR4, 64GB eMMC, with Wi-Fi module, Intel® RealSense™ Camera, Omni directional Wheel Robot Car(Motor Control Board, Wheels, Motor) and pre-loaded Ubuntu image(supported Intel AMR SDK).

To know more:https://aditech.in/?p=14085

Now Available: 2023.2 Release of Intel® oneAPI Tools

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The just-released 2023.2 Intel® oneAPI tools are available,

bringing to developers the freedom of multiarchitecture software development using Python,

simplified migration from CUDA to open SYCL, and elevated performance on the latest GPU and CPU hardware.

5 Benefits of This Release

(Plus a word to users of Intel® Parallel Studie XE.)

  • Simplified CUDA-to-SYCL Migration to Target More Architectures – And more domains, too. Developers can now extend popular applications— deep learning, cryptography, scientific simulation, imaging, and more—to multi-vendor CPUs, GPUs, and other accelerators; plus, the new release supports the latest version of CUDA, additional CUDA APIs, and FP64 for broader migration coverage.
  • Faster & More Accurate AI Inferencing – The addition of NaN-values support during inference streamlines pre-processing and boosts prediction accuracy for models trained on incomplete data.
  • Accelerated AI-based Image Enhancement on GPUs – Intel® Open Image Denoise ray-tracing library now supports GPUs from Intel and other vendors, providing hardware choice for fast, high-fidelity, AI-based image enhancements.
  • Faster Python for AI & HPC – This release introduces the beta version Data Parallel Extensions for Python, extending numerical Python capabilities to GPUs for NumPy and cuPy functions, including Numba compiler support.
  • Streamlined Method to Write Efficient Parallel Code – Intel® Fortran Compiler extends support for DO CONCURRENT Reductions, a powerful feature that allows the compiler to execute loops in parallel and significantly improve code performance while making it easier to write efficient and correct parallel code
  • For Intel® Parallel Studio XE Users – Upgrade to the latest release and get all the tool performance you already know and rely on plus more, including the ability to target multiple architectures and hardware acceleration engines with almost no code changes. With the sunsetting of Parallel Studio XE, now is the time to upgrade to Intel oneAPI Toolkits.

5 Tool Highlights

The following sample showcases how oneAPI tools extend and strengthen software development for a multitude of workloads targeting CPUs, GPUs, FPGAs, and other accelerators:

  1. Intel® oneAPI DPC++/C++ Compiler (based on well-proven LLVM technology) sets the immediate command lists feature as default, benefitting developers looking to offload computation to the Intel® Data Center GPU Max Series.

2. Intel® DPC++ Compatibility Tool (based on the open source SYCLomatic project) adds support for CUDA 12.1 and more function calls, streamlines migration of CUDA to SYCL across numerous domains, and adds FP64 awareness to migrated code to ensure portability across Intel GPUs with and without FP64 hardware support.+

3. Intel® oneAPI Data Analytics Library (oneDAL) Model Builder feature adds missing values for NaN support during inference; this streamlines pre-processing and boosts algorithm prediction accuracy on CPUs and GPUs for models trained on incomplete data.

4. Intel® oneAPI Math Kernel Library (oneMKL) (still the fastest and most-used math library for Intel-based systems†) drastically reduces kernel launch time on Intel Data Center GPU Max and Flex Series processors and introduces the LINPACK benchmark for GPU.

5. Intel® oneAPI Threading Building Blocks (oneTBB) algorithms and Flow Graph nodes now can accept new types of user-provided callables, resulting in a more powerful and flexible parallel-programming environment.

To know more: https://aditech.in/?p=14031

Now Available: 2023.2 Release of Intel® oneAPI Tools

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The just-released 2023.2 Intel® oneAPI tools are available,

bringing to developers the freedom of multiarchitecture software development using Python,

simplified migration from CUDA to open SYCL, and elevated performance on the latest GPU and CPU hardware.

5 Benefits of This Release

(Plus a word to users of Intel® Parallel Studie XE.)

  • Simplified CUDA-to-SYCL Migration to Target More Architectures – And more domains, too. Developers can now extend popular applications— deep learning, cryptography, scientific simulation, imaging, and more—to multi-vendor CPUs, GPUs, and other accelerators; plus, the new release supports the latest version of CUDA, additional CUDA APIs, and FP64 for broader migration coverage.
  • Faster & More Accurate AI Inferencing – The addition of NaN-values support during inference streamlines pre-processing and boosts prediction accuracy for models trained on incomplete data.
  • Accelerated AI-based Image Enhancement on GPUs – Intel® Open Image Denoise ray-tracing library now supports GPUs from Intel and other vendors, providing hardware choice for fast, high-fidelity, AI-based image enhancements.
  • Faster Python for AI & HPC – This release introduces the beta version Data Parallel Extensions for Python, extending numerical Python capabilities to GPUs for NumPy and cuPy functions, including Numba compiler support.
  • Streamlined Method to Write Efficient Parallel Code – Intel® Fortran Compiler extends support for DO CONCURRENT Reductions, a powerful feature that allows the compiler to execute loops in parallel and significantly improve code performance while making it easier to write efficient and correct parallel code
  • For Intel® Parallel Studio XE Users – Upgrade to the latest release and get all the tool performance you already know and rely on plus more, including the ability to target multiple architectures and hardware acceleration engines with almost no code changes. With the sunsetting of Parallel Studio XE, now is the time to upgrade to Intel oneAPI Toolkits.

5 Tool Highlights

  • Intel® oneAPI DPC++/C++ Compiler (based on well-proven LLVM technology) sets the immediate command lists feature as default, benefitting developers looking to offload computation to the Intel® Data Center GPU Max Series.
  • Intel® DPC++ Compatibility Tool (based on the open source SYCLomatic project) adds support for CUDA 12.1 and more function calls, streamlines migration of CUDA to SYCL across numerous domains, and adds FP64 awareness to migrated code to ensure portability across Intel GPUs with and without FP64 hardware support.
  • Intel® oneAPI Data Analytics Library (oneDAL) Model Builder feature adds missing values for NaN support during inference; this streamlines pre-processing and boosts algorithm prediction accuracy on CPUs and GPUs for models trained on incomplete data.
  • Intel® oneAPI Math Kernel Library (oneMKL) (still the fastest and most-used math library for Intel-based systems†) drastically reduces kernel launch time on Intel Data Center GPU Max and Flex Series processors and introduces the LINPACK benchmark for GPU.
  • Intel® oneAPI Threading Building Blocks (oneTBB) algorithms and Flow Graph nodes now can accept new types of user-provided callables, resulting in a more powerful and flexible parallel-programming environment.

To know more: https://aditech.in/news/now-available-2023-2-release-of-intel-oneapi-tools/

Intel oneAPI tools 2023.1 is available to update all tools and libraries. These further strengthen software development tools for open multivendor multiarchitecture heterogeneous/accelerated computing.

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Standouts additions for 2023.1 include:

  • Compiler support automatically enables bfloat16 when available which is especially powerful for AI acceleration.
  • Support for just released updates to Codeplay’s oneAPI plugins for NVIDIA and AMD. The plugin updates deliver quality improvements, support Joint_matrix extension and CUDA* 11.8/testing 12, and enable gfx1032 for AMD. The AMD plugin backend now works with ROCm 5.x driver. New performance optimizations guides are available.
  • Intel® VTune™ Profiler can automatically highlight profiles to gain performance utilizing high-bandwidth memory (HBM) on Intel® Xeon® Processor Max Series. For Intel® Data Center GPU Max Series, view Xe Link cross-card traffic issues such as CPU/GPU imbalances, stack-to-stack traffic, and throughput and bandwidth bottlenecks.
  • Photorealistic ray tracing and path guiding from the Intel® Open Path Guiding Library (integrated in Blender and Chaos V-Ray) deliver performance increases on 4th gen Intel® Xeon® Processors.
  • Updates for the latest CUDA headers and libraries to assist those migrating CUDA code to SYCL (from the SYCLomatic project).
  • Intel® Arc™ GPUs have new support from Intel® Distribution for GDB on Windows.
  • Intel® MPI Library enhances performance for collectives using GPU buffers and default process pinning on CPUs with E-cores and P-cores.
  • Additional customer requested enhancements, and fixes.

To know more: https://aditech.in/product/intel-oneapi/

The latest oneAPI 2022.3 release is now available! This update includes enhancements to CUDA migration, oneMKL, OpenMP, OpenVKL, and so much more.

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oneAPI #DPC++ #IntelSoftware #HPC

Now Available: Intel® oneAPI 2022.3 Tools Available

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#oneAPI #DPCpp #LLVM #Rendering #HPC #IoT

Enabling an Open, Multiarchitecture World

The newest update of Intel® oneAPI Toolkits and standalone tools is now available for direct download and/or use in the Intel® DevCloud for oneAPI. More than 30 tools are included in this release, each optimized to deliver improved performance and expanded capabilities for data-centric workloads.

Intel oneAPI Toolkits are purpose-built to optimize and accelerate cross-architecture and heterogeneous computing, delivering to developers open choice without sacrificing performance or functionality.

The toolkits provide compilers, languages, libraries, and analysis and debug tools that implement industry standards including SYCL*, C++, C, Python, Fortran, MPI, and OpenMP* as well as optimized versions of popular AI frameworks and Python libraries.

2022.3 Highlights:

Compilers

  • Intel® oneAPI DPC++/C++ Compiler adds more SYCL 2020 features to improve programming productivity on various hardware accelerators including GPUs and FPGAs and enhances OpenMP 5.x compliance.
  • Intel® Fortran Compiler adds Fortran 2008 and 2018 coarrays, DLLImport/DLLExport, DO CONCURRENT offload support, and -int and additional -check compiler options.

CUDA*-to-SYCL Porting

  • Intel® DPC++ Compatibility Tool supports more complete CUDA-to-SYCL code migration by adding support for CUDA 11.7 header files and CUDA runtimes and driver APIs including cuDNN, NCCL, Thrust, cuBLAS, and cuFFT.
  • The SYCLomatic Project expands Intel’s support of open computing with an open source version of the Compatibility Tool, which enables community collaboration to advance adoption of the SYCL standard.

Performance Libraries

  • Intel® oneAPI Math Kernel Library adds BLAS GPU device-timing support to ensure faster and easier detecting of exceptions and quicker recovery; improves portability and compatibility by extending OpenMP cluster offload capability to support the OpenMP 5.1 spec for LAPACK.
  • Intel® oneAPI DPC++ Library expands support of the C++ standard library in SYCL kernels with nine additional heap and sorting algorithms to simplify the coding of common functions.
  • Intel® oneAPI Video Processing Library includes the ability to provide extensive data about what is encoded, thereby opening up opportunities for quality improvement and algorithm innovation.

Analysis & Debug Tools

AI and Analytics

  • Intel® Extension for PyTorch* is updated to 1.12.100, includes automatic INT8 quantization, and adds operation and graph enhancements to improve performance across a broad set of workloads.
  • Intel® Optimization for TensorFlow* is updated to TensorFlow 2.9.1, includes performance improvements for bfloat16 models, and removes compiler requirement to enable oneDNN optimizations on Linux*-based Cascade Lake and newer CPUs.
  • Intel® Neural Compressor improves productivity with a lighter binary size, a new quantization accuracy feature and experimental auto-coding support, plus adds support for TensorFlow quantization API, QDQ quantization for ITEX, mixed-precision enhancement, DyNAS, training for block-wise structure sparsity, and op-type wise tuning strategy.

Rendering & Ray Tracing

  • Intel® Open Volume Kernel Library improves performance and memory efficiencies and adds support for VDB volumes (packed/contiguous data layouts for temporally constant volumes) and Intel® AVX-512 8-wide CPU device mode.
  • Intel® OSPRay supports primitive, object, and instance ID buffers as framebuffer channels, and face-varying attributes for mesh and subdivision geometry.
  • Intel® Embree supports the Intel oneAPI DPC++/C++ Compiler.

Get all the details >

Bookmark the oneAPI Training Portal – Learn the way you want to with learning paths, tools, on-demand training, and opportunities to share and showcase your work.

Heterogeneous Parallel
Programming Using
oneAPI Base & HPC toolkit
WEDNESDAY, 23RD MARCH 2022 | 3:00PM – 5:30PM IST

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Aditech is delighted to present this webinar on Intel® oneAPI. Dive into the specifics of utilising Intel® Software Development Tools to deliver compute-intense applications that take advantage of the hardware on which they are deployed.

Participate in this webinar to learn about the fundamentals of Cross-Architecture programming, Heterogeneous Computing, and Accelerating Data Science and Al
Pipelines with Intel® oneAPI Toolkits for AI, HPC, DPC++, C++, and Fortran Developers.

THE FOLLOWING ARE THE WEBINAR’S MAIN TAKEAWAYS:

» Fundamental understanding of Intel® oneAPI domain-based toolkits. Intel® oneAPI Base & HPC Tool Kit, Intel oneAPI latest version 2022
» About Intel® oneAPI Al Analytics Toolkit for data scientists, Al developers, and researchers familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architectures
» Understand oneAPI and how it is beneficial for all types of hardware
» Insights about Intel® Compliers
» Learn how to profile and offload source code using Intel* Tools
» Free 90 days DevCloud access for testing with different hardware
» Overview of the DPC++ language
» Live demos with samples codes
» Sample codes for practice
» oneAPI products variants and licensing models overview

Now Available: Version 2022.1 of Intel® oneAPI Toolkits

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Highlights : The latest release is now available and offers new features, capabilities, and improvements (over 900 since the 2021 release last December) that deliver peak performance and accelerate heterogeneous computing.

Key highlights :

Compilers

  • Intel® oneAPI DPC++/C++ Compiler adds SYCL 2020 features to improve programming productivity plus OpenMP 5.0 & 5.1 features to improve multi-platform, shared-memory programming.
  • Intel® Fortran Compiler is production-ready for CPUs and GPUs and supports OpenMP 5.2 compute offload to GPUs, Fortran 2003, and the most common Fortran 2008 features.

Analysis Tools

  • Intel® VTune™ Profiler Flame Graph feature allows visualization of performance hotspots.
  • New GPU-to-GPU and CPU-to-GPU offload modeling enables performance projections before code changes are made.

High-Performance Computing

  • Intel® MPI Library includes new performance optimizations for Google Cloud Platform fabric (OFI/tcp).
  • Development and distribution platforms have expanded support, including VSCode integration, WSL 2 (Windows Subsystem for Linux), and Spack for HPC tools package management.

Rendering & Ray Tracing

  • Intel® oneAPI Rendering Toolkit adds support for the latest ray tracing techniques, including BVH traversal and intersection, FP16 data format support, Wilkie Sun Sky light sources, rolling shutter, quaternion motion blur, and VDB structure support.

Hardware Platforms

  • Cross-architecture development is supported for Python (via Data Parallel Python for CPUs and GPUs) and Fortran in addition to C++.
  • All toolkits are ready for the latest hardware, including Alder Lake, pre-release software development for Sapphire Rapids, and upcoming client and datacenter GPUs.

With oneAPI, you can realize your full hardware value, confidently develop high-performing cross-architecture code, and ensure your applications are future-ready.

Get started today.

Customer quotes :

What Customers are Saying

“Moving to a cross-architecture model for application development can save significant time and money—over 5 months and $300,000 each time a performance-sensitive application is moved to a new computing platform.” – J. Gold Associates research report

“We used Intel’s denoiser on every shot of The Addams Family 2 and were able to gain a 10% to 20%—and sometimes 25%—efficiency in rendering, saving thousands of hours in rendering production time. – Kenny Chang, Head of Lighting, Cinesite Studios

“Intel® Advisor—and specifically the Roofline Model—really allows us Customers to  understand what is possible and what the performance could be for our specific workloads.” – Ilias Katsardis, HPC Solution Lead, Google Cloud

Watch what customers are saying [3:45]

Subhead : Intel® oneAPI Priority Support

Priority Support tout :

Get professional answers from Intel engineers—technical questions, problems, issues, and more.  Your Intel oneAPI commercial toolkits come with:

  • Priority Support via our Online Service Center for at least one year from your date of purchase. You can extend/renew it at a highly discounted rate.
  • Direct and private interaction with Intel’s support engineers. Customers submit confidential support requests. 
  • Accelerated response time for technical questions and other product needs.  
  • Priority Support for escalated defects and feature requests. 
  • Free download access to all new product updates and continued access to older versions of the product.
  • Access to a vast library of self-help documentation, how-to articles, and videos that build off decades of experience with creating high-performance code. 
  • Access to Intel public community forums supported by community technical experts and monitored by Intel engineers. 
  • Optional Services at additional cost: Onsite/online training and consultation by Intel technical consulting engineers