Xbyak
URL: https://github.com/herumi/xbyak
Description:
A C++ JIT assembler for x86 (IA32), x64 (AMD64, x86-64)
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Performance Tuning
Tips and tricks from those focused on tuning and testing for performance
WORKFORCE-360(Based on INTEL-ONE-API)
URL: https://github.com/Ahamedthaiyub/Workfoce-360-based-on-intelex-
Description:
WORKFORCE360 is a machine learning model associated with the Intel One API toolkit, designed to predict employee attrition. Its purpose is to help companies retain valuable employees and reduce costs associated with turnover. Our three-tier solution includes resume parsing and predictive analytics.
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Optimizing Deep Learning models: theory, tools & best-practices (AI Day 2022)
URL: https://github.com/deltatrelabs/deltatre-aiday-2022-demo
Description:
In this repository you can find slides and demos for the Optimizing Deep Learning models: theory, tools & best-practices session, presented (in Italian) at AI Day 2022 Conference on November 18th, 2022.
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NMS by DPC++
URL: https://github.com/intel-sandbox/ICE_dpcpp_sample/tree/master
Description:
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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Performance Evaluation of FPGA-based Hardware Accelerator for HPC applications
Description:
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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Integral_DPCPP
URL: https://github.com/norhidayahm/integral_dpcpp
Description:
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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