An Introduction to Modern GPU Architecture Ashu Rege Director of Developer Technology Agenda • Evolution of GPUs • Computing Revolution • Stream Processing • Architecture details of modern GPUs Evolution of GPUs Evolution of GPUs (1995-1999) • 1995 – NV1 • 1997 – Riva 128 (NV3), DX3 • 1998 – Riva TNT (NV4), DX5 • […]
Introduction to OpenCL Cliff Woolley, NVIDIA Developer Technology Group Welcome to the OpenCL Tutorial! OpenCL Platform Model OpenCL Execution Model Mapping the Execution Model onto the Platform Model Introduction to OpenCL Programming Additional Information and Resources OpenCL is a trademark of Apple, Inc. Design Goals of OpenCL Use all computational resources in the system
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Assignment 2 EECS 3401 A November 6, 2020 This assignment is due on November 22 at 23:59. Late submissions will not be accepted. Introduction In this assignment, you are going to implement a solver to the N-Puzzle (a generalized version of the 8- and 15-Puzzle discussed in class) using three different search algorithms: A* ,
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SE 3316A Web Technologies Lab #5: Due Friday, Dec. 4, 11:55 pm Deadlines: • Submission deadline: Friday, Dec. 4, 11:55 pm. Submission closes on Wed. Dec 4th 11:55pm. • Demonstration deadline: Wednesday, Dec 16, 5pm. Evaluation • Up to 10 marks and up to 10 bonus marks (total of 20) for evidence of credible actions
CSE 240 Homework 13, Fall 2020 (50 points) Due Saturday, November 21, 2020 at 11:59PM, plus one day grace period Introduction The aim of this assignment is to make sure that you understand and are familiar with the concepts covered in the lectures. By the end of the assignment, you should have • strong concept
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Economics 430 Lecture 7 Unit Roots, Stochastic Trends, ARIMA, Forecasting Models, and Smoothing 1 Today’s Class • Stochastic Trends and Forecasting – Random Walk without Drift – Random Walk with Drift – ARIMA • Unit Roots: Estimation and Testing – Least Squares Regression with Unit Roots – Effects of Unit Roots on the ACF and
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Multi-agent Decision Making COMP 4418 – Assignment 3 Due 25 Nov. 2020, 15:00 Total Marks: 50 Late Penalty: 10 marks per day Worth: 15% of the course Consider a resource allocation setting in which indivisible items are to be allocated to agents, and agents have positive and additive utilities over the items. Prove or disprove
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Contents Linear Regression I. The Linear Model and Least-Squares Regression 1 I.1 Simple Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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Economics 430 Sampling Distributions and Limits 1 Today’s Class • Limits – Convergence in Probability – Weak Law of Large Numbers – Convergence in Probability 1 – Strong Law of Large Numbers – Convergence in Distribution – Central Limit Theorem • Monte Carlo Approximations • Normal Distribution Theory – Chi-Squared Distribution – t-Distribution – F-Distribution
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MSBA 403: Optimization Lecture 1 November 6, 2020 Optimization and decision-making § We live in a world that is resource-constrained: § Money § Time § Labor § Physical space § Optimization is fundamentally about making decisions that lead to favorable outcomes in the face of constraints § Building optimization models is both an art and
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