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UCLA - EE - 202
EE202A Homework #4 1. Energy Aware Packet TransmissionHuiyu Luo November 22, 2003For locally stable sessions, the delay of packets with leaky bucket regulated data flow and WFQ service scheduling is as follows.K-1 KD = b/g +k=1Pc /gk +k=1
UCLA - EE - 0310241705
Initial Project ProposalDustin McIntire and Wilber DuranA. What are you trying to do? We are attempting to show that in a typical data acquisition and signal processing application, one may achieve a significant overall energy savings by utilizing
UCLA - EE - 0310241705
Initial Project ProposalDustin McIntire and Wilber DuranA. What are you trying to do? We are attempting to show that in a typical data acquisition and signal processing application, one may achieve a significant overall energy savings by utilizing
UCLA - EE - 0310241705
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26Task Name Survey Literature Setup Xscale Tools Compile gcc, binutils, newlib Setup eCos config tool Port eCos to Stargate platform Setup on-chip peripherals Setup off-chip perip
UCLA - EE - 202
UCLA Electrical Engineering EE202A Final Exam Fall 2003 Dustin McIntire
UCLA - EE - 202
Problem #1 Dustin McIntireProblem: Using the paper from Yung-Hsiang Lu, "Power-Aware Operating Systems for Interactive Systems" derive an off-line optimal schedule for the following tasks(jobs) and set of devices used by each task that minimizes the
UCLA - EE - 202
Problem #1 Dustin McIntireProblem: Using the paper from Yung-Hsiang Lu, "Power-Aware Operating Systems for Interactive Systems" derive an off-line optimal schedule for the following tasks(jobs) and set of devices used by each task that minimizes the
UCLA - EE - 202
Problem #2 Dustin McIntirea. Compute the optimum power management strategy using DVS and DPM. The strategy will be to compute the voltage setting which maximizes the battery lifetime for each of the given task execution duty cycles and periods. For
UCLA - EE - 202
Problem #2 Dustin McIntirea. Compute the optimum power management strategy using DVS and DPM. The strategy will be to compute the voltage setting which maximizes the battery lifetime for each of the given task execution duty cycles and periods. For
UCLA - EE - 202
Problem #3 Dustin McIntireThere are three parameters that determine our battery lifetime for the duty-cycled and parallel battery configurations. N The number of cells used. I/C The ratio of the load current normalized to the battery cell capacity
UCLA - EE - 202
Problem #3 Dustin McIntireThere are three parameters that determine our battery lifetime for the duty-cycled and parallel battery configurations. N The number of cells used. I/C The ratio of the load current normalized to the battery cell capacity
UCLA - EE - 202
Problem #4 Dustin McIntireWe start with the constraint that the multiplier has 20ns of delay and the adder has 10ns of delay at the maximum voltage setting, 5V. The required delay for each of these units may be calculated at the other voltage settin
UCLA - EE - 202
Problem #4 Dustin McIntireWe start with the constraint that the multiplier has 20ns of delay and the adder has 10ns of delay at the maximum voltage setting, 5V. The required delay for each of these units may be calculated at the other voltage settin
UCLA - EE - 202
Problem #5 Dustin McIntire a.i, Find the iteration bound.+ X X +4D+ X X +4DThe iteration bound is determined by the loop consisting of two multipliers and three adders with a delay of 4. The iteration bound is: t mul = 4 t add = 2 t 2 * t
UCLA - EE - 202
Problem #5 Dustin McIntire a.i, Find the iteration bound.+ X X +4D+ X X +4DThe iteration bound is determined by the loop consisting of two multipliers and three adders with a delay of 4. The iteration bound is:t mul = 4 t add = 2 t 2 * t
UCLA - EE - 202
Initial Project Proposal A) What are you trying to do? We're trying to come up with a better way of managing power in ad-hoc low duty cycle networks. In other words, we want to figure out a way to consume less energy per useful bit in a network. The
UCLA - EE - 202
Jason Gordon Ryan Speelman EE202ADetailed Project ProposalTimeline: By the end of week 5 we will have figured out how to send and receive data while running TinyOS on the MICA2 motes. We plan on sending and receiving 1 byte (the minimum) to 29 byt
UCLA - EE - 202
Steven Butt 902-850-240 Homework 3 1. a) Graph on top: This problem does not have a periodic admissible schedule. The reason for this is that there is an infinite data buildup. We are forced to run node A first because it is the only one without inpu
UCLA - EE - 202
2 0 0.97470 26 70100 62 117
UCLA - EE - 202
Steven Butt902-850-240hw3 prob6 readme filePlace prob6.c and the Makefile in the same directory.On a Unix machine type "make" in the console and the program will be compiledand an executable will be generated called "prob6". Type "prob6" in th
UCLA - EE - 202
EE202A Homework 3Jun ChenProblem 1(1) It is not schedulable. The matrix of this SDFG is, Rank()=3, so it is not schedulable. (2) It is not schedulable because the buffers between A and C are not enough. The matrix of this SDFG is 2 0 -3 0 =
UCLA - EE - 202
Matt Zobel 10/1/03 EE 202AEssay on Proactive ComputingIn reading David Tennenhouse's paper on "Proactive Computing" I found that his ideas on the future of computing technology in 2000 to be slightly askew just three years later in 2003. I think t
UCLA - EE - 202
Jinjun Xiong (jinjun@ee.ucla.edu) EE202A Final, Fall 2003 PROBLEM 1. OPEN QUESTION. Select one or more paper from among those that were required or recommended readings for the lectures. The only constraint is that the papers must not be the Rakhmato
UCLA - EE - 202
Jinjun Xiong (jinjun@ee.ucla.edu) EE202A Final, Fall 2003 PROBLEM 5. TRANSFORMATIONS a. Consider the DFG shown below that represents a filter (specifically, in case you wonder, a 4level pipelined all-pass 8th-order IIR digital filter). Assume that ad
UCLA - EE - 0312121705
Initial Project Proposal A) What are you trying to do? We're trying to come up with a better way of managing power in ad-hoc low duty cycle networks. In other words, we want to figure out a way to consume less energy per useful bit in a network. The
UCLA - EE - 0312121705
Jason Gordon Ryan Speelman EE202ADetailed Project ProposalTimeline: By the end of week 5 we will have figured out how to send and receive data while running TinyOS on the MICA2 motes. We plan on sending and receiving 1 byte (the minimum) to 29 byt
UCLA - EE - 202
Problem 1: We have 3 queues and 3 leaky buckets. The buckets have the following leaky bucket parameters: r1 = 150 pps, b = 5 r2 = 100 pps, b = 15 r3 = 50 pps, b = 10 Let's say the weights on the queues for r1, r2, and r3 are 0.5, 0.3, and 0.2, respec
UCLA - EE - 202
Problem 2: The file p2.cpp is a program I used to check if the task set was schedulable. This same program also checks to find the amount of time the processor can be shutdown every 400000 cycles of execution to help answer part A. To help answer par
UCLA - EE - 202
Algorithm Description for hw3.cppShane EricksonEE202AHomework #3Algorithm: After the program obtains the filename from the user it obtains allthe information, storing data about the tasks in an array named tasks[] and thedata describing the
UCLA - EE - 202
Shane Erickson EE202A Nov 10, 2003 Assignment #3Problem 1:No, the first SDFG does not have an admissible schedule. The problem is with the output from A to B, which provides three outputs to the one input of B. If B is ran three times, then C must
UCLA - EE - 0311141705
Initial Proposal EE202ADavid Lee Yu Ching Chang 10/13/2003a. What are you trying to do? We are trying to build a low-cost inertial navigation system using only magnetometers and accelerometers that will be integrated onto a StarGate embedded comp