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Djalma B.

@miguel68

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C/C++ Developer

$50 USD / Hour

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Brazil (9:18 PM)

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Joined on February 7, 2009

$50 USD / Hour

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I am C/C++ developer working 28 years with C / C ++, Python, FORTRAN, ADA ASSEMBLY, HTML 5, Node.js and GraphQL. OO Design, Object Oriented programming. RUP, Agile, Scrum,Jenkins. C++ Skills : C ++ Flight Simulators Open GL applications in C++ 17. FIX API Engines with Low latency and high frequency algorithms. CMAKE, HUNTER, BOOST C ++ LIBRARY, Machine Learning, TensorFIow. c++ 17 : multi threading (thread synchronization methods, what is dead lock, how to prevent dead lock etc),  template metadata object oriented programming socket programming concepts (differences between tcp and udp), memory allocations. STL Algorithms : 1. the queriers, 2. the permutationers, 3. the algos on sets, 4. the movers, 5. the value modifiers, 6. the structure changers, 7. and the algos of raw memory. And each of those families have sub-families: the searchers, the property queriers, the partitioners, etc. Experience : 1 - Remote Freelancer February 2012 - Present C/C ++ development C ++98, C++ 11, C++ 14, and C ++ 17 Microsoft VISUAL STUDIO CODE 2019 STL algorithms. Open-GL, MISRA C ++ C ++ Flight Simulators Low latency and high frequency algorithms. CMAKE, HUNTER, BOOST C ++ LIBRARY, Machine Learning, TensorFIow. FRONT-END TECHNOLOGIES: HTML 5, JavaScript, NODE JS. PYTHON development: MACHINE LEARNING,DEEP LEARNING,SciPY iPython, Jupyter Notebook, Anaconda, Numpy,Matplotlib. Custom development of new wireless network sensor lines for weather monitoring. Business and user requirements analysis and database design to handle millions of new monthly records. Coordination with students and other engineers to build and integrate modules and subprojects. LINUX Ubuntu / Fedora servers. My services include integrating my clients' engineering teams as consultants, whether driving or managing the complete software lifecycle from creation to deployment, testing and deployment. REPOSITÓRIOS GIT: [login to view URL]

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Portfolio

Portfolio

6450036
Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

6449685
MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

5631337
Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

6017442

FIX ENGINE CPP

FIX ENGINE CPP

6017360
The mutex class is a synchronization primitive that can be used to protect shared data from being simultaneously accessed by multiple threads. Added since C++ 11. mutex offers exclusive, non-recursive ownership semantics: A calling thread owns a mutex from the time that it successfully calls either lock or try_lock until it calls unlock. When a thread owns a mutex, all other threads will block (for calls to lock) or receive a false return value (for try_lock) if they attempt to claim ownership of the mutex. A calling thread must not own the mutex prior to calling lock or try_lock. The behavior of a program is undefined if a mutex is destroyed while still owned by any threads, or a thread terminates while owning a mutex. The mutex class satisfies all requirements of Mutex and StandardLayoutType. std::mutex is neither copyable nor movable.

STD-Mutex

The mutex class is a synchronization primitive that can be used to protect shared data from being simultaneously accessed by multiple threads. Added since C++ 11. mutex offers exclusive, non-recursive ownership semantics: A calling thread owns a mutex from the time that it successfully calls either lock or try_lock until it calls unlock. When a thread owns a mutex, all other threads will block (for calls to lock) or receive a false return value (for try_lock) if they attempt to claim ownership of the mutex. A calling thread must not own the mutex prior to calling lock or try_lock. The behavior of a program is undefined if a mutex is destroyed while still owned by any threads, or a thread terminates while owning a mutex. The mutex class satisfies all requirements of Mutex and StandardLayoutType. std::mutex is neither copyable nor movable.

STD-Mutex

5733094

Random Number Generation C++

Random Number Generation C++

6450036
Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

Examples of Parallel Algorithms From C++17. MSVC (VS 2017 15.7, end of June 2018) is as far as I know the only major compiler/STL implementation that has parallel algorithms. Not everything is done, but you can use a lot of algorithms and apply std::execution::par on them! MSVC Implementation : The following algorithms are parallelized. - adjacent_difference, adjacent_find, all_of, any_of, count, count_if, equal, exclusive_scan, find, find_end, find_first_of, find_if, for_each, for_each_n, inclusive_scan, mismatch, none_of, reduce, remove, remove_if, search, search_n, sort, stable_sort, transform, transform_exclusive_scan, transform_inclusive_scan, transform_reduce..... And we might expect more: No apparent parallelism performance improvement on target hardware; all algorithms which merely copy or permute elements with no branches are typically memory bandwidth limited. - copy, copy_backward, copy_n, fill, fill_n, move, move_backward, remove, remove_if, replace, replace_if, reverse,

ParSTLTests - parallel algorithms in MSVC implementation.

6449685
MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB® provides a flexible, two-way integration with other programming languages, allowing you to reuse legacy code. To help you choose a MATLAB feature for your application, see Integrate MATLAB with External Programming Languages and Systems. C++ Libraries. Directly call C++ library functionality from MATLAB® If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher.

MATLAB Interface to C++ Library

5631337
Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

Writing a flight simulator is a good way to learn about space math, pitch, yaw and roll concepts and to create fractal landscapes. CONTENTS Geometric Primitives in C++ • A Spaceship Class • A Landscape Class

C++ and OpenGL FLIGHT SIMULATOR.

6017442

FIX ENGINE CPP

FIX ENGINE CPP

6017360
The mutex class is a synchronization primitive that can be used to protect shared data from being simultaneously accessed by multiple threads. Added since C++ 11. mutex offers exclusive, non-recursive ownership semantics: A calling thread owns a mutex from the time that it successfully calls either lock or try_lock until it calls unlock. When a thread owns a mutex, all other threads will block (for calls to lock) or receive a false return value (for try_lock) if they attempt to claim ownership of the mutex. A calling thread must not own the mutex prior to calling lock or try_lock. The behavior of a program is undefined if a mutex is destroyed while still owned by any threads, or a thread terminates while owning a mutex. The mutex class satisfies all requirements of Mutex and StandardLayoutType. std::mutex is neither copyable nor movable.

STD-Mutex

The mutex class is a synchronization primitive that can be used to protect shared data from being simultaneously accessed by multiple threads. Added since C++ 11. mutex offers exclusive, non-recursive ownership semantics: A calling thread owns a mutex from the time that it successfully calls either lock or try_lock until it calls unlock. When a thread owns a mutex, all other threads will block (for calls to lock) or receive a false return value (for try_lock) if they attempt to claim ownership of the mutex. A calling thread must not own the mutex prior to calling lock or try_lock. The behavior of a program is undefined if a mutex is destroyed while still owned by any threads, or a thread terminates while owning a mutex. The mutex class satisfies all requirements of Mutex and StandardLayoutType. std::mutex is neither copyable nor movable.

STD-Mutex

5733094

Random Number Generation C++

Random Number Generation C++

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