Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/cabelo/rscreatelg
This software is designed to generate holographic video for Looking Glass holographic screens. I'm not associated with the Looking Glass Factory and I developed this project in my spare time to use Looking Glass on GNU / LINUX. I use the opencv library and admire the camera's Intel Realsense camera,
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URL: https://github.com/KastnerRG/Read_the_docs/blob/master/docs/project6.rst
This project is about hardware accelaration on Intel DevCloud for one API for using DPC++ on different platforms using multicore CPU,GPU,FPGA which uses a single programming methodology for different hardware accelarator components defined in the upgrading and for a better programmity of processor.
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URL: https://github.com/manncodes/dehazing-openvino
This project presents an end-to-end feature fusion attention network (FFA-Net) to directly restore the haze-free image. To further accelerate, we distill knowledge from a Teacher model( generally a model achieving SOTA) to the student model(with significantly less parameters than Teacher).
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URL: https://github.com/CXWorld/CapFrameX
Frametimes capture and analysis tool based on Intel's PresentMon. Overlay provided by Rivatuner Statistics Server.
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URL: https://github.com/BLILLP/IntelDemo.git
Memory management in humans, algorithms and poc using parallel processing
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URL: https://github.com/yhaowang666/MEC-DQL.git
A policy based deep reinforcement learning algorithm for task offloading and resource allocation.
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URL: https://github.com/intel-sandbox/ICE_dpcpp_sample/tree/master
Non-maximum supression is a algorithm for many detection/tracking use case. But for large data, NMS is time-consuming. So making this algorthm paralleled is necessary.
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URL: https://github.com/VCCA2021HPC/simple-md
Demonstrate use of SYCL for a basic molecular dynamics implementation
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URL: https://github.com/FMarno/SYCL-LU-Decomposition
Simulation of integrated circuits consists of solving matrix-based equations. In this project, we demonstrate the acceleration of LU decomposition as the core algorithm in solving circuits using SYCL and oneAPI on CPU and GPU.
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URL: https://github.com/danchitnis/EEsim
EEsim is a circuit simulator based on ngspice and it runs inside the browser using WebAssembly technology.
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URL: https://github.com/danchitnis/sycl-container
A container for development SYCL code. Currently, work with Intel CPU, CUDA GPU. (Intel GPU work in progress). Can be used independently of with VScode remote extension
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In this project, we aim to find if FPGAs can be considered as a viable option as a hardware accelerator, and if so, how is their performance compared to existing processors like GPGPUs in various types of HPC workloads. We have an opportunity to take benefit of the recent developments in High-Level
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URL: https://github.com/nikkhiel/mediamapper
Mediamapper project plans to produce map of topics on social media based on keywords, hashtags, titles, labels, captions, search-words as well as images and videos. The name MediaMapper signifies the mapping of topics and trends on the overall social media all over the Internet.
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URL: https://github.com/norhidayahm/integral_dpcpp
This project is modified from the integral project from the course "Fundamentals of Parallelism on Intel Architecture" by Dr. Andrey Vladimirov in Coursera. The codes are converted to C++ and DPC++.
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URL: https://github.com/acanets/dpcpp-tutorial
This is a collection of DPC++ sample programs that demonstrate the design, analysis and optimization of DPC++ programs
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URL: https://github.com/Mrhuajie-wu/gw3_oneAPI_samples
sample1:计算随机变量的数字特征，如单个变量的期望、方差，两个变量之间的协方差。同时实现两个变量之间的线性回归。 sample2:卷积算法有很强的并行性，通过将每次核的矩阵乘法运算并行实现算法的并行化。 sample3:展示数据在传输中以及计算中的具体情况。
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URL: https://github.com/arrayfire/arrayfire
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. This project is to develop a oneAPI backend to the library, which currently supports CUDA, OpenCL, and x86.
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URL: https://github.com/AMLResearchProject/ALL-Jetson-Nano-Classifier
The Acute Lymphoblastic Leukemia Jetson Nano Classifier is a Convolutional Neural Network developed using Intel® oneAPI AI Analytics Toolkit & Intel® Optimization for Tensorflow* on an Intel® NUC NUC7i7BNH to accelerate training, and TensorRT for high performance inference on NVIDIA® Jetson Nano.
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URL: https://github.com/ouc16020021031/Parallel-assignment
The program can assign and initialize values in parallel
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URL: https://jupyter.oneapi.devcloud.intel.com/user/u78961/lab
Build a binary classifier to categorize the tweets in the training data as a 1. Disaster/Attack/Calamity with potential loss of Life and property 2. Tweets unrelated to loss of life and property 3. Create a function which can take a tweet as input and classify it
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