Computer architecture presentation
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This document discusses pipelining in CPUs. It describes the stages in a typical instruction pipeline as fetch, decode, calculate operands, fetch operands, execute, and write back. It provides timing diagrams to illustrate how pipelining allows overlapping execution of instructions. It also discusses hazards that can occur in pipelining, including resource hazards when instructions need the same resource, data hazards when instructions depend on previous results, and control hazards with branches. Solutions proposed include increasing resources, forwarding dependencies, branch prediction, and delayed branching.
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Pipeline hazards in computer Architecture ppt
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this is complete reference of pipeline hazards.
if you like this ppt comment down below for more.
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Pipeline hazard
There are situations, called hazards, that prevent the next instruction in the instruction stream from executing during its designated cycle
There are three classes of hazards
Structural hazard
Data hazard
Branch hazard
Pipeline hazards in computer Architecture ppt
Pipeline hazards in computer Architecture ppt.
this is complete reference of pipeline hazards.
if you like this ppt comment down below for more.
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The document discusses pipelining in computer processors. It describes how pipelining can increase throughput by overlapping the execution of multiple instructions. It discusses the basic pipeline stages for a RISC instruction set, including fetch, decode, execute, memory access, and writeback. It also describes several types of pipeline hazards that can occur, such as structural hazards caused by resource conflicts, data hazards when instructions depend on previous results, and control hazards with branches. Forwarding techniques are presented to help address data hazards.
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
this notes have been created
by Eric36 at nyamata ttc
after readings
pe book for y2sme .
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, SerbiaHarnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology towards Sustainable Steelmaking
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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Computer architecture presentation
- 1. Pipelining Acknowledgement Mr. Gazi Zahirul Islam Assistant Professor Department of Computer Science and Engineering
- 2. Group Name: Gain Of Day Nirnay Mukharjee ID: 143-15-4421
- 4. Types of Pipeline • Fetch instruction(FI) • Decode instruction(DI) • Calculate operands(CO) • Fetch operands(FO) • Execute instructions(EI) • Write operands(WO)
- 5. Two stage instruction pipeline.
- 6. Timing Diagram for Instruction Pipeline Operation
- 7. The Effect of a Conditional Branch on Instruction Pipeline Operation
- 10. Hazards of Pipelining Types of hazards Resource Hazards Data Hazards Control Hazards
- 11. Resource Hazards Two (or more) instructions in pipeline need same resource Executed in serial rather than parallel for part of pipeline Also called structural hazard E.g. Assume simplified five-stage pipeline -Each stage takes one clock cycle One solution: increase available resources -Multiple main memory ports -Multiple ALUs
- 13. Data Hazards E.g. x86 machine instruction sequence: • ADD EAX, EBX /* EAX = EAX + EBX • SUB ECX, EAX /* ECX = ECX – EAX
- 15. Types of Data Hazard Read after write (RAW),or true dependency Write after read (WAR),or anti-dependency Write after write (WAW), or output dependency Data Hazard
- 16. Write After Read (WAR) Write After Write (WAW) • A write after read (WAR) data hazard represents a problem with concurrent execution. Example For example: i1. R4 <- R1 + R3 i2. R3 <- R1 + R2 • A write after write (WAW) data hazard may occur in a concurrent execution environment. Example For example: i1. R2 <- R4 + R7 i2. R2 <- R1 + R2
- 17. Control Hazard • Dealing with Branches – Multiple Streams – Prefetch Branch Target – Loop buffer – Branch prediction – Delayed branching
- 19. Thank You