EECE 5699: Computer Hardware and System Security Fall 2023 Lab 5 – Flush+Reload Attack against AES Due on Dec. 1st (F) 2023 Noon on GitHub 1 Overview In this lab, you will learn a widely used cache side-channel attack: Flush+Reload attack. It relies on a special x86 instruction, clflush, and an OS optimization, memory deduplication. […]
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CS6601 Final Exam Professor Thomas Ploetz Fall 2023 1. Before solving the exam, you should read the Ed exam posts for any updated information or clarifications on the exam. 2. You should work on this pdf in parallel with the canvas exam to ensure your work is always backed up. 3. Enter your answers as
CS 2210 Programming Project (Part IV) Code Generation This project is intended to give you experience in writing a code generator as well as bring together the various issues of code generation discussed in the text and in class. The assignment is due December 9th, 2023, 11:59pm. This is the hard deadline and no exten-
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Semester 2 Assessment, 2022 School of Mathematics and Statistics MAST90083 Computational Statistics & Data Science Reading time: 30 minutes — Writing time: 3 hours — Upload time: 30 minutes This exam consists of 9 pages (including this page) with 8 questions and 55 total marks Permitted Materials This exam and/or an offline electronic PDF
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Homework 4 Part 2 Attention-based End-to-End Speech-to-Text Deep Neural Network 11-785: Introduction to Deep Learning (Fall 2023) OUT: November 6, 2023, at 11:59 PM ET EARLY SUBMISSION (Canvas Quiz): November 16, 2023, at 11:59 PM ET DUE: December 2, 2023, at 11:59 PM ET Start Here • Collaboration policy: – You are expected to comply
Student Name: Student ID: Deep Learning for Medical Imaging (BE41003) Assignment 1 • Question 1 We start considering the binary classification problem, given the dataset (x1, t1), .., (xN , tN ) – X is the training set which is a matrix of dimensions (N × D); – t is the binary target (scalar number);
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Homework 8: Optimizations In this homework, you’ll implement some optimizations in your compiler. You’ll also come up with benchmark programs and see how well your optimizations do on a collaboratively-developed benchmark suite. You’ll implement the following optimizations (all of which we discussed in class): Constant propagation Common subexpression elimination In order to make inlining and
COMPSCI 3MI3 – Principles of Programming Languages J. Carette McMaster University Adapted from “Types and Programming Languages” by Benjamin C. Pierce and Nick Moore’s material. J. Carette (McMaster University) The Lambda Calculus Fall 2023 1 / 30 The Lambda Calculus Computation my Friends! Computation! In the 1960s, Peter Landin observed that complex programming languages can
Performance Modeling – RISC-V processor This will be an INDIVIDUAL project Phase 1: (Due November 7th 11:59PM) 1) Draw the schematic for a single stage processor and fill in your code in the provided file to run the simulator. 2) Measure and report average CPI, Total execution cycles, and Instructions per cycle by adding performance
Performance Modelling – RISC-V processor This project will require you to implement cycle-accurate simulators of a 32-bit RISC-V processor in C++ or Python. The skeleton code for the assignment is given in le (NYU_RV32I_6913.cpp or NYU_RV32I_6913.py). The simulators should take in two les as inputs: imem.text and dmem.txt les The simulator should give out the
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