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PYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use the EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts.BASIC SEQUENCING
#Sequence program. seq_prog = """ move 100,R0 #Loop iterator. move 20,R1 #Initial wait period in ns. wait_sync 4 #Wait for sequencers to synchronize and then wait another 4ns. loop: set_mrk 1 #Set marker output 1. play 0,1,4 #Play a gaussian and a block on output path 0 and 1 respectively and wait 4ns. set_mrk 0 #Reset marker output 1. upd_param 16 #Update parameters and wait the remainingOVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the HIERARCHICAL EQUAL RISK CONTRIBUTION (HERC) This is a fundamental disadvantage of HRP which is improved upon by HERC by dividing the tree, at each step, based on the structure induced by the dendrogram. At each level of the tree, an Equal Risk Contribution allocation is used i.e. the weights are: α 1 = 1 − R C 1 R C 1 + R C 2; α 2 = 1 − α 1. where α 1, α 2 are the weightsof
COMPILE WITH SAGEMAKER NEO AND DEPLOY ON SAGEMAKER HOSTING Description ¶. You can use SageMaker Neo to compile models for deployment on SageMaker Hosting using ml.inf1 instances. In this developer flow, you provision a Sagemaker Notebook instance to train, compile and deploy your model using the SageMaker Python UNSUPERVISED PROJECTS (ANOMALY DETECTION) Assessing Unsupervised Anomaly Detection Models on External Test Set¶. In unsupervised projects, if there is some labelled data, it may be used to assess anomaly detection models by checking computed classification metrics such as AUC and LogLoss, etc. and insights suchas ROC and Lift.
PYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use the EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts.GEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms. COMPILE WITH SAGEMAKER NEO AND DEPLOY ON SAGEMAKER HOSTING Description ¶. You can use SageMaker Neo to compile models for deployment on SageMaker Hosting using ml.inf1 instances. In this developer flow, you provision a Sagemaker Notebook instance to train, compile and deploy your model using the SageMaker PythonOVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the HIERARCHICAL EQUAL RISK CONTRIBUTION (HERC) This is a fundamental disadvantage of HRP which is improved upon by HERC by dividing the tree, at each step, based on the structure induced by the dendrogram. At each level of the tree, an Equal Risk Contribution allocation is used i.e. the weights are: α 1 = 1 − R C 1 R C 1 + R C 2; α 2 = 1 − α 1. where α 1, α 2 are the weightsof
UNSUPERVISED PROJECTS (ANOMALY DETECTION) Assessing Unsupervised Anomaly Detection Models on External Test Set¶. In unsupervised projects, if there is some labelled data, it may be used to assess anomaly detection models by checking computed classification metrics such as AUC and LogLoss, etc. and insights suchas ROC and Lift.
JEDI TESTING
JEDI Testing¶. Each JEDI bundle has its own suite of tests. To run them, first build and compile the bundle as described in our bundle build page.Step 5 in that building and compiling procedure is to test the code with ctest.This step is described in the following section.. After describing the basic functionality of ctest, we proceed to give a more detailed overview of how tests areBASIC SEQUENCING
#Sequence program. seq_prog = """ move 100,R0 #Loop iterator. move 20,R1 #Initial wait period in ns. wait_sync 4 #Wait for sequencers to synchronize and then wait another 4ns. loop: set_mrk 1 #Set marker output 1. play 0,1,4 #Play a gaussian and a block on output path 0 and 1 respectively and wait 4ns. set_mrk 0 #Reset marker output 1. upd_param 16 #Update parameters and wait the remainingPI CONNECTOR RELAY
Basic Information. Endpoint: Select what you wish to connect to, in this case the Connector Relay. Server hostname: The hostname or address of the Connector Relay. Server port: The port the Connector Relay is listening on. Leave as 0 if you are using the default port. Producer Token: The Producer Token provided by PI Data Source: Defines which data is sent to the PI Server.GEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms.MACH-AERO FRAMEWORK
MACH-Aero Framework¶. MACH-Aero is a framework for performing gradient-based aerodynamic shape optimization. It consists of the following core modules:OVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
WHAT IS JEDI?
What is JEDI?¶ An accurate weather forecast depends on two fundamental ingredients. First, you need comprehensive observations; to predict what the weather will be like tomorrow you need to know what it is like today (or more precisely, the current and past state of the atmosphere and ocean). WELCOME TO THE FINTECH BOOT CAMP! To help prepare you, we've created these modules to be completed before your first day. The prework will provide you with the preliminary skills and information you need to begin the course. It will also give you a glimpse of what's to come. We recommend reading the sections in sequential order, as each section builds on the other. SNOPT — PYOPTSPARSE DOCUMENTATION SNOPT is a sparse nonlinear optimizer that is particularly useful for solving large-scale constrained problems with smooth objective functions and constraints. The algorithm consists of a sequential quadratic programming (SQP) algorithm that uses a smooth augmented Lagrangian merit function, while making explicit provision forinfeasibility in
VSC DOCUMENTATION DOCUMENTATION VSC documentation Documentation, Release 1.0 public/private key pair. 1.3.1Create a public/private key pair A key pair consists of a privateand a public key.
PYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use the EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts.BASIC SEQUENCING
#Sequence program. seq_prog = """ move 100,R0 #Loop iterator. move 20,R1 #Initial wait period in ns. wait_sync 4 #Wait for sequencers to synchronize and then wait another 4ns. loop: set_mrk 1 #Set marker output 1. play 0,1,4 #Play a gaussian and a block on output path 0 and 1 respectively and wait 4ns. set_mrk 0 #Reset marker output 1. upd_param 16 #Update parameters and wait the remainingOVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the HIERARCHICAL EQUAL RISK CONTRIBUTION (HERC) This is a fundamental disadvantage of HRP which is improved upon by HERC by dividing the tree, at each step, based on the structure induced by the dendrogram. At each level of the tree, an Equal Risk Contribution allocation is used i.e. the weights are: α 1 = 1 − R C 1 R C 1 + R C 2; α 2 = 1 − α 1. where α 1, α 2 are the weightsof
COMPILE WITH SAGEMAKER NEO AND DEPLOY ON SAGEMAKER HOSTING Description ¶. You can use SageMaker Neo to compile models for deployment on SageMaker Hosting using ml.inf1 instances. In this developer flow, you provision a Sagemaker Notebook instance to train, compile and deploy your model using the SageMaker Python UNSUPERVISED PROJECTS (ANOMALY DETECTION) Assessing Unsupervised Anomaly Detection Models on External Test Set¶. In unsupervised projects, if there is some labelled data, it may be used to assess anomaly detection models by checking computed classification metrics such as AUC and LogLoss, etc. and insights suchas ROC and Lift.
PYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use the EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts.BASIC SEQUENCING
#Sequence program. seq_prog = """ move 100,R0 #Loop iterator. move 20,R1 #Initial wait period in ns. wait_sync 4 #Wait for sequencers to synchronize and then wait another 4ns. loop: set_mrk 1 #Set marker output 1. play 0,1,4 #Play a gaussian and a block on output path 0 and 1 respectively and wait 4ns. set_mrk 0 #Reset marker output 1. upd_param 16 #Update parameters and wait the remainingOVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the HIERARCHICAL EQUAL RISK CONTRIBUTION (HERC) This is a fundamental disadvantage of HRP which is improved upon by HERC by dividing the tree, at each step, based on the structure induced by the dendrogram. At each level of the tree, an Equal Risk Contribution allocation is used i.e. the weights are: α 1 = 1 − R C 1 R C 1 + R C 2; α 2 = 1 − α 1. where α 1, α 2 are the weightsof
COMPILE WITH SAGEMAKER NEO AND DEPLOY ON SAGEMAKER HOSTING Description ¶. You can use SageMaker Neo to compile models for deployment on SageMaker Hosting using ml.inf1 instances. In this developer flow, you provision a Sagemaker Notebook instance to train, compile and deploy your model using the SageMaker Python UNSUPERVISED PROJECTS (ANOMALY DETECTION) Assessing Unsupervised Anomaly Detection Models on External Test Set¶. In unsupervised projects, if there is some labelled data, it may be used to assess anomaly detection models by checking computed classification metrics such as AUC and LogLoss, etc. and insights suchas ROC and Lift.
JEDI TESTING
JEDI Testing¶. Each JEDI bundle has its own suite of tests. To run them, first build and compile the bundle as described in our bundle build page.Step 5 in that building and compiling procedure is to test the code with ctest.This step is described in the following section.. After describing the basic functionality of ctest, we proceed to give a more detailed overview of how tests areBASIC SEQUENCING
#Sequence program. seq_prog = """ move 100,R0 #Loop iterator. move 20,R1 #Initial wait period in ns. wait_sync 4 #Wait for sequencers to synchronize and then wait another 4ns. loop: set_mrk 1 #Set marker output 1. play 0,1,4 #Play a gaussian and a block on output path 0 and 1 respectively and wait 4ns. set_mrk 0 #Reset marker output 1. upd_param 16 #Update parameters and wait the remainingPI CONNECTOR RELAY
Basic Information. Endpoint: Select what you wish to connect to, in this case the Connector Relay. Server hostname: The hostname or address of the Connector Relay. Server port: The port the Connector Relay is listening on. Leave as 0 if you are using the default port. Producer Token: The Producer Token provided by PI Data Source: Defines which data is sent to the PI Server.GEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms.MACH-AERO FRAMEWORK
MACH-Aero Framework¶. MACH-Aero is a framework for performing gradient-based aerodynamic shape optimization. It consists of the following core modules:OVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
WHAT IS JEDI?
What is JEDI?¶ An accurate weather forecast depends on two fundamental ingredients. First, you need comprehensive observations; to predict what the weather will be like tomorrow you need to know what it is like today (or more precisely, the current and past state of the atmosphere and ocean). WELCOME TO THE FINTECH BOOT CAMP! To help prepare you, we've created these modules to be completed before your first day. The prework will provide you with the preliminary skills and information you need to begin the course. It will also give you a glimpse of what's to come. We recommend reading the sections in sequential order, as each section builds on the other. SNOPT — PYOPTSPARSE DOCUMENTATION SNOPT is a sparse nonlinear optimizer that is particularly useful for solving large-scale constrained problems with smooth objective functions and constraints. The algorithm consists of a sequential quadratic programming (SQP) algorithm that uses a smooth augmented Lagrangian merit function, while making explicit provision forinfeasibility in
VSC DOCUMENTATION DOCUMENTATION VSC documentation Documentation, Release 1.0 public/private key pair. 1.3.1Create a public/private key pair A key pair consists of a privateand a public key.
PYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh.CRAWLER PYTHON API
crawl ¶. Crawl the URL set up in the crawler. This is the main entry point, and will block while it runs. get (url) ¶. Get a specific URL, log its response, and return its content. EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use theGEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms. CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the COMPILE WITH FRAMEWORK API AND DEPLOY ON EC2 INF1 You can use a single inf1 instance as a development environment to compile and deploy Neuron models. In this developer flow, you provision an EC2 inf1 instance using a Deep Learming AMI (DLAMI) and execute the two steps of the development flow in the same instance. The DLAMI comes pre-packaged with the Neuron frameworks, compiler, andrequired
NX START GUIDE
Give the name to your connection, e.g. Connection to nx.hpc.kuleuven.be. You can optionally create the link to that connection on your desktop. Click the "Done” button to finish configuration. Choose the just created connection and press "Connect”. Enter your username ( vsc-account) and passphrase for your private key and press “ok”. SPECIFYING JOB RESOURCES The following option specifies the RAM requirements of your job: -l pmem=. The job needs RAM memory per core or hyperthread (the unit used by ppn). The units for the pmem value are kb, mb, gb or tb. Example: -l nodes=2:ppn=8 -l pmem=10gb. In total, each ofPYOPTSPARSE
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include: Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers. IDWARP — IDWARP DOCUMENTATION IDWarp ¶. IDWarp. IDWarp is a tool for performing mesh manipulation of 3-dimensional multi-block, overset and unstructured meshes. Building. Tutorial. Options. API. USMesh. MultiUSMesh.CRAWLER PYTHON API
crawl ¶. Crawl the URL set up in the crawler. This is the main entry point, and will block while it runs. get (url) ¶. Get a specific URL, log its response, and return its content. EXAMPLES — PYXDSM DOCUMENTATION Examples¶. Here is a simple example. There are some other more advanced things you can do as well. Check out the examples folder for more complex scripts. MODULE 1 - COURSE OVERVIEW - CYBERSECURITY PREWORK Tools We'll Use. The wide array of topics covered throughout these modules requires an equally wide array of tools and environments. Throughout the course we will use virtual machines to operate various operating systems and programs.. Specifically, we will use theGEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms. CREATE AN SSH KEY PAIR FOR USE WITH MOBAXTERM Create an SSH key pair for use with MobaXterm¶. The following steps explain how to generate an SSH key pair in OpenSSH format using the MobaXterm application.. Go to the MobaXterm website and download the free version. Make sure to select the Portable edition from the download page. Create a folder called MobaXterm in a known location in your computer and decompress the contents of the COMPILE WITH FRAMEWORK API AND DEPLOY ON EC2 INF1 You can use a single inf1 instance as a development environment to compile and deploy Neuron models. In this developer flow, you provision an EC2 inf1 instance using a Deep Learming AMI (DLAMI) and execute the two steps of the development flow in the same instance. The DLAMI comes pre-packaged with the Neuron frameworks, compiler, andrequired
NX START GUIDE
Give the name to your connection, e.g. Connection to nx.hpc.kuleuven.be. You can optionally create the link to that connection on your desktop. Click the "Done” button to finish configuration. Choose the just created connection and press "Connect”. Enter your username ( vsc-account) and passphrase for your private key and press “ok”. SPECIFYING JOB RESOURCES The following option specifies the RAM requirements of your job: -l pmem=. The job needs RAM memory per core or hyperthread (the unit used by ppn). The units for the pmem value are kb, mb, gb or tb. Example: -l nodes=2:ppn=8 -l pmem=10gb. In total, each ofGEOSX DOCUMENTATION
GEOSX Documentation¶. Welcome to our documentation pages! GEOSX is a code framework focused on enabling streamlined development of physics simulations on high performance computing platforms.MACH-AERO FRAMEWORK
MACH-Aero Framework¶. MACH-Aero is a framework for performing gradient-based aerodynamic shape optimization. It consists of the following core modules:OVERSET THEORY
Here is a list of commonly used steps to create an overset mesh with the usual workflow in the MDO Lab: Generate surface meshes for the main components in ICEM. Extrude surface meshes into volume meshes using pyHyp. Generate background mesh using cgns utils. Merge blocksin
JEDI DOCUMENTATION
JEDI Documentation¶. Welcome to the Joint Effort for Data assimilation Integration (JEDI)! JEDI is a unified and versatile data assimilation (DA) system for Earth System Prediction. The JEDI software package can be run on a variety of platforms from laptops to supercomputers, for a variety of purposes, from teaching and learning DA fundamentals to the development and validation of new DAWHAT IS JEDI?
What is JEDI?¶ An accurate weather forecast depends on two fundamental ingredients. First, you need comprehensive observations; to predict what the weather will be like tomorrow you need to know what it is like today (or more precisely, the current and past state of the atmosphere and ocean).NX START GUIDE
NoMachine NX Client Configuration Guide¶. NoMachine NX requires keys in OpenSSH format, therefore the existing key needs to be converted into OpenSSH format if you’re working on Windows and using PuTTY.. Start the NoMachine client and press twice continue to see the screenwith connection.
BUMP — JEDI DOCUMENTATION 1 DOCUMENTATION Read the Docs v: latest . Versions latest 1.0.0 develop Downloads On Read the Docs Project Home Builds Free document hosting provided by Read the Docs.Read the Docs. SMART VIBRATION SENSOR (ARDUINO) 1. Objectives¶. With NanoEdge AI Emulator, you can emulate the behavior of your NanoEdge AI Library from the command line, or the interface provided through NanoEdge AI Studio or your development board via serial port and a python script to display the results onthe screen.
HYBRID MPI/OPENMP PROGRAMS The number of threads per process can then be computed by dividing the number of logical cores per node by the number of processes per node. E.g., to run a hybrid MPI/OpenMP program on 2 nodes using 20 cores on each node and running 4 MPI ranks per node (hence 5 OpenMP threads per MPI rank), your script would contain. #PBS -l nodes=2:ppn20. LIST OF SCIENTIFIC DOMAINS list of scientific domains¶. On you application form, you will be asked to indicate the scientific domain of your application according to the NWO classification.* Features
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