# 电子工程代写|计算机系统结构代写Computer Systems Architecture代考|EE282

## 电子工程代写|计算机系统结构代写Computer Systems Architecture代考|PWM Effectiveness

The main application benchmarks in two different scenarios is used for the evaluation of the effectiveness of the PWM-based activity setting, i.e. the interference control. On the main core, the TACLeBench benchmark is executed in every case. The two benchmarks for the competing application cores are Read benchmark: This artificial benchmark generates high read traffic on the shared interconnect and the memory by performing read accesses to memory and does not profit from local data caches,

TACLeBench [17]: A benchmark suite which is application oriented and generates realistic traffic on the shared interconnect and memory and profits from local data caches. Example algorithms used are JPEG image transcoding routines, GSM provisional standard decoder, H.264 block decoding functions, Huffman encoding/decoding and Rijndael AES encoding/decoding.

The two benchmarks are executed in the two scenarios with and without local caches enabled (L1 instruction and data caches). These scenarios show that the technique also works for very high interference configurations. Furthermore, disabling the caches is relevant for creating the single core WCET as mentioned in Subsect. 3.1. In both scenarios, no external memory is accessed and the internal L3 platform cache is configured as shared SRAM to reduce memory access delay and focus on interferences in the interconnect. The activity of the competing cores has been set by the PWM signal in parallel for all cores from $0 \%$ to $100 \%$ in steps of $10 \%$. The execution time of the main application is measured. Figure 3 shows the results of the scenario without local caches. It can be observed that for the Read benchmark thwarting the competing cores by $10 \%$ still reduces execution time of the main application by nearly $30 \%$. The decrease stays very intensive until the competing cores reach an activity rate of $60 \%$. Below $60 \%$ the execution time of the main application decreases nearly linearly. The TACLe benchmark performs nearly $15 \%$ better in case competition is reduced from $100 \%$ to $90 \%$. Below this value, the execution time decreases more or less linear until the competition is zero.

## 电子工程代写|计算机系统结构代写Computer Systems Architecture代考|Closed Loop Controller

We evaluated the closed control loop using TACLeBench as main application and Read as bad guys running on seven cores in parallel. We set a maximum slowdown of $4 \%$ as target performance of the main application compared to stand-alone execution.

Figure 5 shows the performance of the TACLeBench over time (upper part) and the development of the slowdown over time (lower part) without any interference control and with simple threshold-based control. The upper part presents the number of executed instruction per $\mu \mathrm{s}$. It can be seen that the uncontrolled execution takes about $10 \%$ longer for execution at the end. The diagram in the lower part represents the slowdown of the main application as tracked by the Fingerprinting. Since tracking of progress is based on discrete steps, the performance reductions are manifested in sharp steps. The following phases of smooth performance increases are caused by relative distribution of a slowdown over a longer time, i.e. a one-time delay at the start of the application of $5 \%$ is reduced over the total execution time to a much lower slowdown. The dotted line represents the threshold (4\%) i.e. the maximum target slowdown of the main application.

As can be seen in the figure, TACLeBench experienced a slowdown of about $10 \%$ over the complete execution time if no control mechanism is applied. With our simple control, the target of $4 \%$ maximum slowdown is reached at the end. The grey shaded boxes identify the times when the other seven cores are active. No grey shading means that the other cores are disabled by the control mechanism. At first glance, the competing cores are most of the time disabled meaning that applications running on these cores will not get much execution time. But, note that the competing applications are seven bad guy applications flooding the shared resources with maximum traffic. However, even in this simple control case, the other cores each get $23.4 \%$ processing time.

## 电子工程代写|计算机系统结构代写Computer Systems Architecture代考|PWM Effectiveness

TACLeBench [17]：一个面向应用程序的基准套件，在共享互连和内存上生成真实的流量，并从本地数据缓存中获利。使用的示例算法是 JPEG 图像转码例程、GSM 临时标准解码器、H.264 块解码功能、Huffman 编码/解码和 Rijndael AES 编码/解码。

## 电子工程代写|计算机系统结构代写Computer Systems Architecture代考|Closed Loop Controller

myassignments-help数学代考价格说明

1、客户需提供物理代考的网址，相关账户，以及课程名称，Textbook等相关资料~客服会根据作业数量和持续时间给您定价~使收费透明，让您清楚的知道您的钱花在什么地方。

2、数学代写一般每篇报价约为600—1000rmb，费用根据持续时间、周作业量、成绩要求有所浮动(持续时间越长约便宜、周作业量越多约贵、成绩要求越高越贵)，报价后价格觉得合适，可以先付一周的款，我们帮你试做，满意后再继续，遇到Fail全额退款。

3、myassignments-help公司所有MATH作业代写服务支持付半款，全款，周付款，周付款一方面方便大家查阅自己的分数，一方面也方便大家资金周转，注意:每周固定周一时先预付下周的定金，不付定金不予继续做。物理代写一次性付清打9.5折。

Math作业代写、数学代写常见问题

myassignments-help擅长领域包含但不是全部: