The document describes the five stage execution process of a RISC-V processor. The five stages are: 1) Instruction Fetch, 2) Instruction Decode, 3) Execution (ALU), 4) Memory Access, and 5) Register Writeback. It also discusses the different RISC-V instruction formats, including R-type for arithmetic/logic instructions, I-type for instructions with immediate values, S-type for stores, and U-type for instructions like load upper immediate.
This document discusses the evolution of computer architecture from CISC to RISC designs. It provides details on major advances like microprogramming, cache memory, and microprocessors that influenced computer designs. Reduced Instruction Set Computers (RISC) aimed to improve performance by using simpler instructions optimized for pipelining. RISC relies on register-based operations while CISC uses more complex instructions mapped to microcode. The tradeoffs between the two approaches are still debated as most modern designs incorporate elements of both.
This document discusses the evolution of computer architecture from CISC to RISC designs. It provides details on major advances like microprogramming, cache memory, and microprocessors that influenced computer design. It then describes the key features of RISC systems like large register files, limited instruction sets, and emphasis on instruction pipelining. The document discusses optimizations for RISC designs like delayed branching and register allocation techniques. It also examines the debate around the performance of RISC versus CISC and notes most modern systems incorporate aspects of both.
Edhole School provides best Information about Schools in India, Delhi, Noida, Gurgaon. Here you will get about the school, contact, career, etc. Edhole Provides best study material for school students.
This document discusses general-purpose processors. It begins by introducing general-purpose processors and their basic architecture, which consists of a control unit and datapath that is designed to perform a variety of computation tasks. It then describes the operations of loading, storing, and arithmetic/logical operations that can be performed by the datapath. Subsequent sections provide more details on the control unit and how it sequences operations, instruction cycles, architectural considerations like bit-width and clock frequency, and techniques for improving performance like pipelining and superscalar execution. The document concludes with sections on assembly-level instructions and programmer considerations.
The document provides information about an upcoming prelim exam for CS 3410 at Cornell University. It states that the prelim will take place on the same day as the summary at 7:30pm sharp in various locations based on student ID. It covers material from chapters 1-4, homework assignments 1 and 2, and labs 0-2. Students should arrive early as the exam will start promptly.
Reduced instruction set computing, or RISC (pronounced 'risk', /ɹɪsk/), is a CPU design strategy based on the insight that a simplified instruction set provides higher performance when combined with a microprocessor architecture capable of executing those instructions using fewer microprocessor cycles per instruction.
Here are the step-by-step workings:
1) $s0 contains the binary value: 00001010 (which is the decimal value 10)
2) sll shifts the bits in $s0 left by 4 positions:
00001010 (original value of $s0)
00101000 (value after shifting left by 4 bits)
3) The result is stored in $t2
So the value of $t2 after the operation is 00001010 << 4 = 01010000 = decimal 80
Therefore, the value of $t2 is 80.
This document discusses the evolution of computer architecture from CISC to RISC designs. It provides details on major advances like microprogramming, cache memory, and microprocessors that influenced computer designs. Reduced Instruction Set Computers (RISC) aimed to improve performance by using simpler instructions optimized for pipelining. RISC relies on register-based operations while CISC uses more complex instructions mapped to microcode. The tradeoffs between the two approaches are still debated as most modern designs incorporate elements of both.
This document discusses the evolution of computer architecture from CISC to RISC designs. It provides details on major advances like microprogramming, cache memory, and microprocessors that influenced computer design. It then describes the key features of RISC systems like large register files, limited instruction sets, and emphasis on instruction pipelining. The document discusses optimizations for RISC designs like delayed branching and register allocation techniques. It also examines the debate around the performance of RISC versus CISC and notes most modern systems incorporate aspects of both.
Edhole School provides best Information about Schools in India, Delhi, Noida, Gurgaon. Here you will get about the school, contact, career, etc. Edhole Provides best study material for school students.
This document discusses general-purpose processors. It begins by introducing general-purpose processors and their basic architecture, which consists of a control unit and datapath that is designed to perform a variety of computation tasks. It then describes the operations of loading, storing, and arithmetic/logical operations that can be performed by the datapath. Subsequent sections provide more details on the control unit and how it sequences operations, instruction cycles, architectural considerations like bit-width and clock frequency, and techniques for improving performance like pipelining and superscalar execution. The document concludes with sections on assembly-level instructions and programmer considerations.
The document provides information about an upcoming prelim exam for CS 3410 at Cornell University. It states that the prelim will take place on the same day as the summary at 7:30pm sharp in various locations based on student ID. It covers material from chapters 1-4, homework assignments 1 and 2, and labs 0-2. Students should arrive early as the exam will start promptly.
Reduced instruction set computing, or RISC (pronounced 'risk', /ɹɪsk/), is a CPU design strategy based on the insight that a simplified instruction set provides higher performance when combined with a microprocessor architecture capable of executing those instructions using fewer microprocessor cycles per instruction.
Here are the step-by-step workings:
1) $s0 contains the binary value: 00001010 (which is the decimal value 10)
2) sll shifts the bits in $s0 left by 4 positions:
00001010 (original value of $s0)
00101000 (value after shifting left by 4 bits)
3) The result is stored in $t2
So the value of $t2 after the operation is 00001010 << 4 = 01010000 = decimal 80
Therefore, the value of $t2 is 80.
This document discusses instruction pipelining in computer processors. It begins by defining pipelining and explaining how it works like an assembly line to increase throughput. It then discusses different types of pipelines and introduces the MIPS instruction pipeline as an example. The document goes on to explain different types of pipeline hazards like structural hazards, control hazards, and data hazards. It provides examples of how to detect and resolve these hazards through techniques like forwarding, stalling, predicting, and delayed branching. Key concepts covered include pipeline registers, control signals, forwarding units, and branch prediction buffers.
This document provides an overview of the CS152 course on computer systems architecture. It will cover the hardware-software interface, digital design concepts, computer architecture including simple and pipelined processors, and computer systems including operating systems and virtual memory. The document discusses the von Neumann model of computer design and how most modern computers are based on this model. It also introduces some of the challenges in designing efficient processor pipelines, including hazards that can occur like read-after-write hazards, load-use hazards, and control hazards caused by branches. Solutions like forwarding, stalling, and branch prediction are discussed.
The Linux Block Layer - Built for Fast StorageKernel TLV
The arrival of flash storage introduced a radical change in performance profiles of direct attached devices. At the time, it was obvious that Linux I/O stack needed to be redesigned in order to support devices capable of millions of IOPs, and with extremely low latency.
In this talk we revisit the changes the Linux block layer in the
last decade or so, that made it what it is today - a performant, scalable, robust and NUMA-aware subsystem. In addition, we cover the new NVMe over Fabrics support in Linux.
Sagi Grimberg
Sagi is Principal Architect and co-founder at LightBits Labs.
This document discusses the evolution of computer architecture from CISC to RISC designs. It covers major advances like cache memory and microprocessors that enabled RISC. Key RISC features include large register files optimized via register allocation algorithms. Pipelining is optimized in RISC via techniques like delayed branching. While CISC aimed to simplify compilers, RISC focuses on optimizing instruction execution through techniques like register referencing and simplified instruction sets. The document also notes ongoing debates around quantitatively and qualitatively comparing RISC and CISC designs.
This document compares RISC and CISC processor architectures. It discusses that CISC processors have more complex instructions that can perform multiple operations, while RISC processors have simpler instructions that are optimized to complete in one clock cycle. CISC was developed earlier when memory was expensive, to reduce the number of instructions, while RISC focuses on increasing processor speed. RISC has advantages of faster execution and simpler hardware design, while CISC allows for more compact code.
Microchip's PIC Micro Controller - Presentation Covers- Embedded system,Application, Harvard and Von Newman Architecture, PIC Microcontroller Instruction Set, PIC assembly language programming, PIC Basic circuit design and its programming etc.
The document describes the Von Neumann architecture of modern computers including the central processing unit (CPU), main memory, and input/output system. It discusses how programs are stored in memory and executed by the CPU through sequential instruction processing. Machine instructions, machine languages, and common instruction types are defined. Examples of instruction execution including data transfer and arithmetic operations are provided. The document also discusses techniques for improving performance including pipelining and parallel processing.
Pipelining allows multiple instructions to be processed simultaneously by splitting the fetch-decode-execute cycle into stages so different instructions can be at different stages. Array or vector processors can perform the same operation on multiple data elements in parallel using multiple ALUs. Parallel processing can happen at different levels from pipelining within a CPU to multi-core and multiprocessor systems that distribute work across CPUs. RISC processors use simpler instructions that can complete in one cycle while CISC processors have more complex instructions implemented in hardware.
Computer Organization: Introduction to Microprocessor and MicrocontrollerAmrutaMehata
This document provides information on microprocessors and microcontrollers. It discusses the key differences between microprocessors and microcontrollers, including that microcontrollers contain a processor core, memory and I/O pins on a single chip while microprocessors only contain a CPU. Examples of common microcontrollers and microprocessors are provided. The document also describes the functions, advantages, applications and architecture of microprocessors such as the Pentium. It provides details on the 8051 microcontroller including its 8-bit ALU.
Various processor architectures are described in this presentation. It could be useful for people working for h/w selection and processor identification.
RISC Vs CISC Computer architecture and designyousefzahdeh
RISC and CISC are two approaches to microprocessor architecture. RISC utilizes a small, highly optimized instruction set where each instruction is simple and can be executed in a single clock cycle. CISC uses more complex instructions that can perform multiple operations in one instruction. While RISC requires more instructions, CISC requires more complex processor design and has longer execution times. Over time, the two approaches have converged as technologies allow CISC processors to better support pipelining and RISC processors to include more complex instructions.
The CPU is the central processing unit of a computer and consists of three main parts - the control unit, register set, and ALU. The control unit directs operations between the register set and ALU. The register set stores intermediate data and the ALU performs arithmetic and logic operations. The CPU follows a fetch-execute cycle where it fetches instructions from memory and stores them in the instruction register before executing them. Common instruction types include processor-memory operations, I/O operations, data processing, and control operations.
This document discusses the evolution of computer architecture from CISC to RISC designs. It covers major advances like cache memory and microprocessors that enabled RISC. Key RISC features include large register files optimized via register allocation algorithms, simple instruction sets, and emphasis on optimizing instruction pipelines. Pipelining enables parallel fetch and execute cycles, and techniques like delayed branching optimize pipeline utilization. While CISC aimed to ease compiler complexity, RISC prioritizes simple instructions that can complete in one cycle. The tradeoffs between CISC and RISC remain controversial with no definitive consensus due to the complexity of separating hardware and software factors.
This document discusses the history and characteristics of CISC and RISC architectures. It describes how CISC architectures were developed in the 1950s-1970s to address hardware limitations at the time by allowing instructions to perform multiple operations. RISC architectures emerged in the late 1970s-1980s as hardware improved, focusing on simpler instructions that could be executed faster through pipelining. Common RISC and CISC processors used commercially are also outlined.
FLPU = Floating Points operations Unit
PFCU = Prefetch control unit
AOU = Atomic Operations Unit
Memory-Management unit (MMU)
MAR (memory address register)
MDR (memory data register)
BIU (Bus Interface Unit)
ARS (Application Register Set)
FRS File Register Set
(SRS) single register set
The document provides an introduction to the course on computer organization and architecture. It discusses key concepts like:
- Where data is stored, processed, and displayed in a computer.
- Computer architecture deals with the functional behavior and design implementation of computer systems. Computer organization deals with the structural relationships and utilization within a computer system.
- The document outlines the syllabus which will cover topics like basic computer structure, memory systems, arithmetic and logical operations, and parallel processing techniques like pipelining and vector processing.
- Performance is a key measure of computers and depends on factors like hardware design, instruction set, and compiler optimizations. Processor clock rate and the basic performance equation are discussed as measures of a computer's
Sony Computer Entertainment Europe Research & Development DivisionSlide_N
This document discusses using SPURS tasks on the Cell Broadband Engine to offload work from the PowerPC Processor Element (PPE) to the Synergistic Processor Elements (SPEs). It provides an example of using a SPURS task to parallelize an object update method across SPEs. By DMA transferring the object data to SPE local stores, executing the update method on each SPE, and transferring the data back, a 5x speedup was achieved over executing the method on the PPE alone. Further optimization could be gained by overlapping the DMA transfers with computation.
The Von Neumann architecture is characterized by its serial processing nature, fetch-decode-execute cycle, and use of a common bus. It has four main components: a processor, memory, I/O devices, and secondary storage. The processor contains an arithmetic logic unit and control unit, and uses registers like the program counter, memory address register, and accumulator. Instructions are fetched from memory one at a time by the processor and executed sequentially, limiting processor speed.
This document provides an introduction to programming concepts and the C programming language. It defines key terms related to programming and explains the process of developing, translating, and executing a computer program. Specifically, it discusses how programs are written in programming languages and translated into machine-readable code by compilers. It also covers computer hardware components, data representation, memory addressing, program instructions, and notable features of the C language. The overall purpose is to give the reader a basic understanding of programming and the C programming language.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
This document discusses instruction pipelining in computer processors. It begins by defining pipelining and explaining how it works like an assembly line to increase throughput. It then discusses different types of pipelines and introduces the MIPS instruction pipeline as an example. The document goes on to explain different types of pipeline hazards like structural hazards, control hazards, and data hazards. It provides examples of how to detect and resolve these hazards through techniques like forwarding, stalling, predicting, and delayed branching. Key concepts covered include pipeline registers, control signals, forwarding units, and branch prediction buffers.
This document provides an overview of the CS152 course on computer systems architecture. It will cover the hardware-software interface, digital design concepts, computer architecture including simple and pipelined processors, and computer systems including operating systems and virtual memory. The document discusses the von Neumann model of computer design and how most modern computers are based on this model. It also introduces some of the challenges in designing efficient processor pipelines, including hazards that can occur like read-after-write hazards, load-use hazards, and control hazards caused by branches. Solutions like forwarding, stalling, and branch prediction are discussed.
The Linux Block Layer - Built for Fast StorageKernel TLV
The arrival of flash storage introduced a radical change in performance profiles of direct attached devices. At the time, it was obvious that Linux I/O stack needed to be redesigned in order to support devices capable of millions of IOPs, and with extremely low latency.
In this talk we revisit the changes the Linux block layer in the
last decade or so, that made it what it is today - a performant, scalable, robust and NUMA-aware subsystem. In addition, we cover the new NVMe over Fabrics support in Linux.
Sagi Grimberg
Sagi is Principal Architect and co-founder at LightBits Labs.
This document discusses the evolution of computer architecture from CISC to RISC designs. It covers major advances like cache memory and microprocessors that enabled RISC. Key RISC features include large register files optimized via register allocation algorithms. Pipelining is optimized in RISC via techniques like delayed branching. While CISC aimed to simplify compilers, RISC focuses on optimizing instruction execution through techniques like register referencing and simplified instruction sets. The document also notes ongoing debates around quantitatively and qualitatively comparing RISC and CISC designs.
This document compares RISC and CISC processor architectures. It discusses that CISC processors have more complex instructions that can perform multiple operations, while RISC processors have simpler instructions that are optimized to complete in one clock cycle. CISC was developed earlier when memory was expensive, to reduce the number of instructions, while RISC focuses on increasing processor speed. RISC has advantages of faster execution and simpler hardware design, while CISC allows for more compact code.
Microchip's PIC Micro Controller - Presentation Covers- Embedded system,Application, Harvard and Von Newman Architecture, PIC Microcontroller Instruction Set, PIC assembly language programming, PIC Basic circuit design and its programming etc.
The document describes the Von Neumann architecture of modern computers including the central processing unit (CPU), main memory, and input/output system. It discusses how programs are stored in memory and executed by the CPU through sequential instruction processing. Machine instructions, machine languages, and common instruction types are defined. Examples of instruction execution including data transfer and arithmetic operations are provided. The document also discusses techniques for improving performance including pipelining and parallel processing.
Pipelining allows multiple instructions to be processed simultaneously by splitting the fetch-decode-execute cycle into stages so different instructions can be at different stages. Array or vector processors can perform the same operation on multiple data elements in parallel using multiple ALUs. Parallel processing can happen at different levels from pipelining within a CPU to multi-core and multiprocessor systems that distribute work across CPUs. RISC processors use simpler instructions that can complete in one cycle while CISC processors have more complex instructions implemented in hardware.
Computer Organization: Introduction to Microprocessor and MicrocontrollerAmrutaMehata
This document provides information on microprocessors and microcontrollers. It discusses the key differences between microprocessors and microcontrollers, including that microcontrollers contain a processor core, memory and I/O pins on a single chip while microprocessors only contain a CPU. Examples of common microcontrollers and microprocessors are provided. The document also describes the functions, advantages, applications and architecture of microprocessors such as the Pentium. It provides details on the 8051 microcontroller including its 8-bit ALU.
Various processor architectures are described in this presentation. It could be useful for people working for h/w selection and processor identification.
RISC Vs CISC Computer architecture and designyousefzahdeh
RISC and CISC are two approaches to microprocessor architecture. RISC utilizes a small, highly optimized instruction set where each instruction is simple and can be executed in a single clock cycle. CISC uses more complex instructions that can perform multiple operations in one instruction. While RISC requires more instructions, CISC requires more complex processor design and has longer execution times. Over time, the two approaches have converged as technologies allow CISC processors to better support pipelining and RISC processors to include more complex instructions.
The CPU is the central processing unit of a computer and consists of three main parts - the control unit, register set, and ALU. The control unit directs operations between the register set and ALU. The register set stores intermediate data and the ALU performs arithmetic and logic operations. The CPU follows a fetch-execute cycle where it fetches instructions from memory and stores them in the instruction register before executing them. Common instruction types include processor-memory operations, I/O operations, data processing, and control operations.
This document discusses the evolution of computer architecture from CISC to RISC designs. It covers major advances like cache memory and microprocessors that enabled RISC. Key RISC features include large register files optimized via register allocation algorithms, simple instruction sets, and emphasis on optimizing instruction pipelines. Pipelining enables parallel fetch and execute cycles, and techniques like delayed branching optimize pipeline utilization. While CISC aimed to ease compiler complexity, RISC prioritizes simple instructions that can complete in one cycle. The tradeoffs between CISC and RISC remain controversial with no definitive consensus due to the complexity of separating hardware and software factors.
This document discusses the history and characteristics of CISC and RISC architectures. It describes how CISC architectures were developed in the 1950s-1970s to address hardware limitations at the time by allowing instructions to perform multiple operations. RISC architectures emerged in the late 1970s-1980s as hardware improved, focusing on simpler instructions that could be executed faster through pipelining. Common RISC and CISC processors used commercially are also outlined.
FLPU = Floating Points operations Unit
PFCU = Prefetch control unit
AOU = Atomic Operations Unit
Memory-Management unit (MMU)
MAR (memory address register)
MDR (memory data register)
BIU (Bus Interface Unit)
ARS (Application Register Set)
FRS File Register Set
(SRS) single register set
The document provides an introduction to the course on computer organization and architecture. It discusses key concepts like:
- Where data is stored, processed, and displayed in a computer.
- Computer architecture deals with the functional behavior and design implementation of computer systems. Computer organization deals with the structural relationships and utilization within a computer system.
- The document outlines the syllabus which will cover topics like basic computer structure, memory systems, arithmetic and logical operations, and parallel processing techniques like pipelining and vector processing.
- Performance is a key measure of computers and depends on factors like hardware design, instruction set, and compiler optimizations. Processor clock rate and the basic performance equation are discussed as measures of a computer's
Sony Computer Entertainment Europe Research & Development DivisionSlide_N
This document discusses using SPURS tasks on the Cell Broadband Engine to offload work from the PowerPC Processor Element (PPE) to the Synergistic Processor Elements (SPEs). It provides an example of using a SPURS task to parallelize an object update method across SPEs. By DMA transferring the object data to SPE local stores, executing the update method on each SPE, and transferring the data back, a 5x speedup was achieved over executing the method on the PPE alone. Further optimization could be gained by overlapping the DMA transfers with computation.
The Von Neumann architecture is characterized by its serial processing nature, fetch-decode-execute cycle, and use of a common bus. It has four main components: a processor, memory, I/O devices, and secondary storage. The processor contains an arithmetic logic unit and control unit, and uses registers like the program counter, memory address register, and accumulator. Instructions are fetched from memory one at a time by the processor and executed sequentially, limiting processor speed.
This document provides an introduction to programming concepts and the C programming language. It defines key terms related to programming and explains the process of developing, translating, and executing a computer program. Specifically, it discusses how programs are written in programming languages and translated into machine-readable code by compilers. It also covers computer hardware components, data representation, memory addressing, program instructions, and notable features of the C language. The overall purpose is to give the reader a basic understanding of programming and the C programming language.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
06-cpu-pre.pptx
1. The RISC-V Processor
Hakim Weatherspoon
CS 3410
Computer Science
Cornell University
[Weatherspoon, Bala, Bracy, and Sirer]
2. Announcements
• Make sure to go to your Lab Section this week
• Completed Proj1 due Friday, Feb 15th
• Note, a Design Document is due when you submit
Proj1 final circuit
• Work alone
BUT use your resources
• Lab Section, Piazza.com, Office Hours
• Class notes, book, Sections, CSUGLab
2
3. 3
Announcements
Check online syllabus/schedule
• http://www.cs.cornell.edu/Courses/CS3410/2019sp/schedule
• Slides and Reading for lectures
• Office Hours
• Pictures of all TAs
• Project and Reading Assignments
• Dates to keep in Mind
• Prelims: Tue Mar 5th and Thur May 2nd
• Proj 1: Due next Friday, Feb 15th
• Proj3: Due before Spring break
• Final Project: Due when final will be Feb 16th
Schedule is subject to change
4. 4
Collaboration, Late, Re-grading Policies
•“White Board” Collaboration Policy
• Can discuss approach together on a “white board”
• Leave, watch a movie such as Black Lightening, then write up
solution independently
• Do not copy solutions
Late Policy
• Each person has a total of five “slip days”
• Max of two slip days for any individual assignment
• Slip days deducted first for any late assignment,
cannot selectively apply slip days
• For projects, slip days are deducted from all partners
• 25% deducted per day late after slip days are exhausted
Regrade policy
• Submit written request within a week of receiving score
5. Announcements
5
• Level Up (optional enrichment)
• Teaches CS students tools and skills needed in
their coursework as well as their career, such as
Git, Bash Programming, study strategies, ethics in
CS, and even applying to graduate school.
• Thursdays at 7-8pm in 310 Gates Hall,
starting this week
• http://www.cs.cornell.edu/courses/cs3110/2019sp/levelup/
6. 6
Big Picture: Building a Processor
PC
imm
memory
target
offset cmp
control
=?
new
pc
memory
din dout
addr
register
file
inst
extend
A single cycle processor
alu
+4 +4
7. 7
Goal for the next few lectures
• Understanding the basics of a processor
• We now have the technology to build a CPU!
• Putting it all together:
• Arithmetic Logic Unit (ALU)
• Register File
• Memory
- SRAM: cache
- DRAM: main memory
• RISC-V Instructions & how they are executed
7
9. 9
RISC-V Register File
• RISC-V register file
• 32 registers, 32-bits each
• x0 wired to zero
• Write port indexed via RW
- on falling edge when WE=1
• Read ports indexed via RA, RB
Dual-Read-Port
Single-Write-Port
32 x 32
Register File
QA
QB
DW
RW RA RB
WE
32
32
32
1 5 5 5
10. RISC-V Register File
• RISC-V register file
• 32 registers, 32-bits each
• x0 wired to zero
• Write port indexed via RW
- on falling edge when WE=1
• Read ports indexed via RA, RB
• RISC-V register file
• Numbered from 0 to 31
• Can be referred by number: x0, x1, x2, … x31
• Convention, each register also has a name:
- x10 – x17 a0 – a7, x28 – x31 t3 – t6
A
B
W
RW RA RB
WE
32
32
32
1 5 5 5
8
x0
x1
…
x31
14. Need a program
• Stored program computer
Architectures
• von Neumann architecture
• Harvard (modified) architecture
To make a computer
14
15. Need a program
• Stored program computer
• (a Universal Turing Machine)
Architectures
• von Neumann architecture
• Harvard (modified) architecture
To make a computer
15
16. 16
A RISC-V CPU with a (modified) Harvard
architecture
• Modified: instructions & data in common address space,
separate instr/data caches can be accessed in parallel
CPU
Registers
Data
Memory
data, address,
control
ALU
Control
00100000001
00100000010
00010000100
...
Program
Memory
10100010000
10110000011
00100010101
...
Putting it all together: Basic Processor
17. 17
A processor executes instructions
• Processor has some internal state in storage
elements (registers)
A memory holds instructions and data
• (modified) Harvard architecture: separate insts and
data
• von Neumann architecture: combined inst and data
A bus connects the two
We now have enough building blocks to build
machines that can perform non-trivial
computational tasks
Takeaway
18. Next Goal
18
• How to program and execute instructions on
a RISC-V processor?
19. 19
Instruction Processing
A basic processor
• fetches
• decodes
• executes
one instruction at a
time
0010000000000010000000000000
1010
0010000000000001000000000000
0000
0000000000100010000110000010
1010
5
ALU
5 5
control
Reg.
File
PC
Prog
Mem
inst
+4
Data
Mem
Instructions:
stored in memory, encoded in
binary
20. Levels of Interpretation: Instructions
20
High Level Language
• C, Java, Python, ADA, …
• Loops, control flow, variables
for (i = 0; i < 10; i++)
printf(“go cucs”);
main: addi x2, x0, 10
addi x1, x0, 0
loop: slt x3, x1, x2
...
Assembly Language
• No symbols (except labels)
• One operation per
statement
• “human readable machine
language”
Machine Language
• Binary-encoded assembly
• Labels become addresses
• The language of the CPU
ALU, Control, Register File, …
Machine Implementation
(Microarchitecture)
Instruction Set Architecture
00000000101000010000000000010011
00100000000000010000000000010000
00000000001000100001100000101010
10 x2 x0 op=addi
21. Different CPU architectures specify different instructions
Two classes of ISAs
• Reduced Instruction Set Computers (RISC)
IBM Power PC, Sun Sparc, MIPS, Alpha
• Complex Instruction Set Computers (CISC)
Intel x86, PDP-11, VAX
Another ISA classification: Load/Store Architecture
• Data must be in registers to be operated on
For example: array[x] = array[y] + array[z]
1 add ? OR 2 loads, an add, and a store ?
• Keeps HW simple many RISC ISAs are load/store
Instruction Set Architecture (ISA)
21
22. Takeaway
22
A RISC-V processor and ISA (instruction set
architecture) is an example a Reduced
Instruction Set Computers (RISC) where
simplicity is key, thus enabling us to build it!!
23. Next Goal
23
How are instructions executed?
What is the general datapath to execute an
instruction?
24. Five Stages of RISC-V Datapath
24
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Fetch Decode Execute Memory WB
A single cycle processor – this diagram is not 100%
25. Basic CPU execution loop
1. Instruction Fetch
2. Instruction Decode
3. Execution (ALU)
4. Memory Access
5. Register Writeback
Five Stages of RISC-V Datapath
25
26. Stage 1: Instruction Fetch
26
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Fetch 32-bit instruction from memory
Increment PC = PC + 4
Fetch Decode Execute Memory WB
27. Stage 2: Instruction Decode
27
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Gather data from the instruction
Read opcode; determine instruction type, field lengths
Read in data from register file
(0, 1, or 2 reads for jump, addi, or add, respectively)
Fetch Decode Execute Memory WB
28. Stage 3: Execution (ALU)
28
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Useful work done here (+, -, *, /), shift, logic
operation, comparison (slt)
Load/Store? lw x2, x3, 32 Compute address
Fetch Decode Execute Memory WB
29. Stage 4: Memory Access
29
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Used by load and store instructions only
Other instructions will skip this stage
R/W
addr
Data
Data
Fetch Decode Execute Memory WB
30. Stage 5: Writeback
30
5
ALU
5 5
control
Reg.
File
PC
Prog.
Mem
inst
+4
Data
Mem
Write to register file
• For arithmetic ops, logic, shift, etc, load. What about stores?
Update PC
• For branches, jumps
Fetch Decode Execute Memory WB
31. Takeaway
31
• The datapath for a RISC-V processor has
five stages:
1. Instruction Fetch
2. Instruction Decode
3. Execution (ALU)
4. Memory Access
5. Register Writeback
• This five stage datapath is used to execute
all RISC-V instructions
33. 33
RISC-V Design Principles
Simplicity favors regularity
• 32 bit instructions
Smaller is faster
• Small register file
Make the common case fast
• Include support for constants
Good design demands good compromises
• Support for different type of interpretations/classes
34. 34
Instruction Types
• Arithmetic
• add, subtract, shift left, shift right, multiply, divide
• Memory
• load value from memory to a register
• store value to memory from a register
• Control flow
• conditional jumps (branches)
• jump and link (subroutine call)
• Many other instructions are possible
• vector add/sub/mul/div, string operations
• manipulate coprocessor
• I/O
35. 35
RISC-V Instruction Types
• Arithmetic/Logical
• R-type: result and two source registers, shift amount
• I-type: result and source register, shift amount in 16-bit
immediate with sign/zero extension
• U-type: result register, 16-bit immediate with sign/zero
extension
• Memory Access
• I-type for loads and S-type for stores
• load/store between registers and memory
• word, half-word and byte operations
• Control flow
• U-type: jump-and-link
• I-type: jump-and-link register
• S-type: conditional branches: pc-relative addresses
44. 44
Load Upper Immediate
Fetch Decode Execute Memory WB
skip
ALU
PC
Prog.
Mem
+4
5 5 5
Reg.
File
control
imm
extend
shamt
16 12
16
0x50000
45. 45
RISC-V Instruction Types
• Arithmetic/Logical
• R-type: result and two source registers, shift amount
• I-type: result and source register, shift amount in 16-bit
immediate with sign/zero extension
• U-type: result register, 16-bit immediate with sign/zero
extension
• Memory Access
• I-type for loads and S-type for stores
• load/store between registers and memory
• word, half-word and byte operations
• Control flow
• U-type: jump-and-link
• I-type: jump-and-link register
• S-type: conditional branches: pc-relative addresses
✔
46. 46
RISC-V Instruction Types
• Arithmetic/Logical
• R-type: result and two source registers, shift amount
• I-type: result and source register, shift amount in 16-bit
immediate with sign/zero extension
• U-type: result register, 16-bit immediate with sign/zero
extension
• Memory Access
• I-type for loads and S-type for stores
• load/store between registers and memory
• word, half-word and byte operations
• Control flow
• U-type: jump-and-link
• I-type: jump-and-link register
• S-type: conditional branches: pc-relative addresses
✔
47. Summary
47
We have all that it takes to build a processor!
• Arithmetic Logic Unit (ALU)
• Register File
• Memory
RISC-V processor and ISA is an example of a
Reduced Instruction Set Computers (RISC)
• Simplicity is key, thus enabling us to build it!
We now know the data path for the MIPS ISA:
• register, memory and control instructions
Editor's Notes
A stored-program computer is one which stores program instructions in electronic memory. Often the definition is extended with the requirement that the treatment of programs and data in
http://en.wikipedia.org/wiki/Universal_Turing_machine#Stored-program_computer
Davis makes a persuasive argument that Turing's conception of what is now known as "the stored-program computer", of placing the "action table"—the instructions for the machine—in the same "memory" as the input data, strongly influenced John von Neumann's conception of the first American discrete-symbol (as opposed to analog) computer—the EDVAC (Electronic Discrete Variable Automatic Computer) [previous machine, ENIAC (Electronic Numerical Integrator And Computer), was not a stored-program computer, and was not even in binary, it was in decimal].
See video on von Neumann describe the stored-program computer, 34 minutes into video, https://www.youtube.com/watch?v=VTS9O0CoVng
Also, see clip on Turing in the movie The Imitation Game where Turing states that the Bombe will work in breaking the Enigma machine: https://www.youtube.com/watch?v=MM47hsaYWZE
The Harvard architecture is a computer architecture with physically separate storage and signal pathways for instructions and data. --- http://en.wikipedia.org/wiki/Harvard_architecture
Under pure von Neumann architecture the CPU can be either reading an instruction or reading/writing data from/to the memory. Both cannot occur at the same time since the instructions and data use the same bus system. In a computer using the Harvard architecture, the CPU can both read an instruction and perform a data memory access at the same time, even without a cache. A Harvard architecture computer can thus be faster for a given circuit complexity because instruction fetches and data access do not contend for a single memory pathway .
Also, a Harvard architecture machine has distinct code and data address spaces: instruction address zero is not the same as data address zero. Instruction address zero might identify a twenty-four bit value, while data address zero might indicate an eight bit byte that isn't part of that twenty-four bit value.
A modified Harvard architecture machine is very much like a Harvard architecture machine, but it relaxes the strict separation between instruction and data while still letting the CPU concurrently access two (or more) memory buses. The most common modification includes separate instruction and data caches backed by a common address space. While the CPU executes from cache, it acts as a pure Harvard machine. When accessing backing memory, it acts like a von Neumann machine (where code can be moved around like data, a powerful technique). This modification is widespread in modern processors such as the ARM architecture and X86 processors. It is sometimes loosely called a Harvard architecture, overlooking the fact that it is actually "modified".