scholarly journals Python Software Integrates with Microcontrollers and Electronic Hardware to Ease Development for Open-Source Research and Scientific Applications

2021 ◽  
Vol 11 (01) ◽  
pp. 42-58
Author(s):  
Daniel K. Fisher ◽  
Reginald S. Fletcher ◽  
Saseendran S. Anapalli
Keyword(s):  
Open Source ◽  
Scientific Applications ◽  
Electronic Hardware

scholarly journals On-demand virtual research environments using microservices

2019 ◽  
Vol 5 ◽  
pp. e232 ◽  
Author(s):  
Marco Capuccini ◽  
Anders Larsson ◽  
Matteo Carone ◽  
Jon Ander Novella ◽  
Noureddin Sadawi ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Open Source ◽  
Scientific Community ◽  
Life Science ◽  
Scientific Applications ◽  
Infrastructure As A Service ◽  
On Demand ◽  
Research Environments ◽  
Cloud Providers

The computational demands for scientific applications are continuously increasing. The emergence of cloud computing has enabled on-demand resource allocation. However, relying solely on infrastructure as a service does not achieve the degree of flexibility required by the scientific community. Here we present a microservice-oriented methodology, where scientific applications run in a distributed orchestration platform as software containers, referred to as on-demand, virtual research environments. The methodology is vendor agnostic and we provide an open source implementation that supports the major cloud providers, offering scalable management of scientific pipelines. We demonstrate applicability and scalability of our methodology in life science applications, but the methodology is general and can be applied to other scientific domains.

scholarly journals Inastemp: A Novel Intrinsics-as-Template Library for Portable SIMD-Vectorization

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Berenger Bramas
Keyword(s):  
Software Engineering ◽  
Open Source ◽  
Technical Support ◽  
Floating Point ◽  
Scientific Applications ◽  
Performance Study ◽  
Template Library ◽  
Optimized Code

The development of scientific applications requires highly optimized computational kernels to benefit from modern hardware. In recent years, vectorization has gained key importance in exploiting the processing capabilities of modern CPUs, whose evolution is characterized by increasing register-widths and core numbers, but stagnating clock frequencies. In particular, vectorization allows floating point operations to be performed at a higher rate than the processor’s frequency. However, compilers often fail to vectorize complex codes and pure assembly/intrinsic implementations often suffer from software engineering issues, such as readability and maintainability. Moreover, it is difficult for domain scientists to write optimized code without technical support. To address these issues, we propose Inastemp, a lightweight open-source C++ library. Inastemp offers a solution to develop hardware-independent computational kernels for the CPU. These kernels are portable across compilers and floating point precision and vectorized targeting SSE(3,4.1,4.2), AVX(2), AVX512, or ALTIVEC/VMX instructions. Inastemp provides advanced features, such as an if-else statement that vectorizes branches that cannot be removed. Our performance study shows that Inastemp has the same efficiency as pure intrinsic approaches on modern architectures. As side-results, this study provides micro benchmarks on the latest HPC architectures for three different computational kernels, emphasizing comparisons between scalar and intrinsic-based codes.

scholarly journals Open Electronics for Medical Devices: State-of-Art and Unique Advantages

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1256 ◽  
Author(s):  
Pandey ◽  
Vora
Keyword(s):  
Integrated Circuits ◽  
Open Source ◽  
Medical Devices ◽  
Low Cost ◽  
Electronic Components ◽  
Open Hardware ◽  
Open Platform ◽  
Medical Software ◽  
Wide Range ◽  
Electronic Hardware

A wide range of medical devices have significant electronic components. Compared to open-source medical software, open (and open-source) electronic hardware has been less published in peer-reviewed literature. In this review, we explore the developments, significance, and advantages of using open platform electronic hardware for medical devices. Open hardware electronics platforms offer not just shorter development times, reduced costs, and customization; they also offer a key potential advantage which current commercial medical devices lack—seamless data sharing for machine learning and artificial intelligence. We explore how various electronic platforms such as microcontrollers, single board computers, field programmable gate arrays, development boards, and integrated circuits have been used by researchers to design medical devices. Researchers interested in designing low cost, customizable, and innovative medical devices can find references to various easily available electronic components as well as design methodologies to integrate those components for a successful design.

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source
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