June
JUN.
22
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUN.
24
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUN.
29
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
July
JUL.
1
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
6
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
8
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
13
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
15
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
20
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
22
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
27
Tuesday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations
JUL.
29
Thursday | 11:00am
High Performance Computing Summer Workshop, 2021
CULM Lecture Hall 2 room 104
We will kick off our program on Tuesday, June 1, and it will continue until Friday, July 30.
It will be presented in a hybrid mode, where the lectures will mostly be synchronous online, with recordings, and the hands on project will be in person, with a full remote option for those who wish to only participate fully online. Here’s the outline of the workshop:
Week1-2: Unix/Linux tutorial and introduction to NJIT computer clusters
A simple example of parallelizing a square matrix multiplication
Introduction of the workshop project: Parallelization of the Stochastic Gradient Descent method
Week 2-3: Lecture: Parallel machines and introduction to parallel programming
Week 2-3: Hands on: Parallelized Gradient Descent algorithm
Week 4: Introduction to parallel neural networks
Week 4: Hands on: Parallelizing the Stochastic Gradient Descent (SGD)
Week 5: Lecture & Hands on: Parallelization of the SGD on shared memory machines
Week 6: Lecture & Hands on: Parallelization of the SGD on distributed memory machines
Week 7: Topics on parallel spectral clustering and continue working on the parallel SGD project
Week 8: Conclusion and final project presentations