Course description

Error Propagation and Stability - Polynomial Interpolation - Error In Interpolation Polynomial - Polynomial Interpolation - Cubic Spline Interpolation - Data Fitting : Linear Fit,Non Linear Fit - Matrix Elimination and Solution - Solution To Linear Equations Matrix Elimination - Eigen Values of A Matrix - Eigen Values And Eigen Vectors - Solving NonLinear Equations - Solving NonLinear Equations Newton - Methods For Solving NonLinear Equations - System of NonLinear Equations - Numerical Derivations - High order Derivatives From Difference Formula - Numerical Integration - Basic Rules - Comparison of Different Basic Rules - Gaussian Rules - Comparison of Gaussian Rules - Solving Ordinary Differential Equations - Adaptive step size Runge Kutta scheme - Partial Differential Equations - Explicit and Implicit Methods - The Crank - Nicholson Scheme For Two Spatial - Fourier Transforms - Fast Fourier Transforms

What will i learn?

Requirements

skill expert

Free

Lectures

38

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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Memory Systems

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Overview In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundamental principles and ideas, covering DRAM and emerging memory technologies as well as many architectural concepts and ideas related to memory organization, memory control, processing-in-memory, and memory latency / energy / bandwidth / reliability / security / QoS. We discuss major challenges facing modern memory systems (and the computing platforms we currently design around the memory system) in the presence of greatly increasing demand for data and its fast analysis. We examine some promising research and design directions to overcome these challenges. On the research-related part of course (sprinkled across topical lectures), we discuss the following key research topics in detail, focusing on both open problems and potential solution directions: Fundamental issues in memory reliability and security and how to enable fundamentally secure, reliable, safe architectures Enabling data-centric and hence fundamentally energy-efficient architectures that are capable of performing computation near data Reducing both latency and energy consumption by tackling the fixed-latency/energy mindset Enabling emerging memory technologies Enabling predictable and QoS-aware memory systems Research challenges and opportunities in enabling emerging NVM (non-volatile memory) technologies Scaling NAND flash memory and SSDs (solid state drives) into the future

Free

22:36:25 Hours