This document summarizes a research paper on a fine-grain multithreading superscalar architecture. It introduces the need for multithreading to hide long latency operations. It describes the base superscalar architecture and how threads are defined with characteristics like no data dependencies. A register remapping scheme is used to allocate registers to threads. The multithreading architecture can suspend threads on long latency instructions to hide latency without stalling. Simulation results show the multithreading approach provides around a 1.5x speedup on average.
Conventional architectures coarsely comprise of a processor, memory system, and the datapath.
Each of these components present significant performance bottlenecks.
Parallelism addresses each of these components in significant ways.
Different applications utilize different aspects of parallelism - e.g., data itensive applications utilize high aggregate throughput, server applications utilize high aggregate network bandwidth, and scientific applications typically utilize high processing and memory system performance.
It is important to understand each of these performance bottlenecks.
Conventional architectures coarsely comprise of a processor, memory system, and the datapath.
Each of these components present significant performance bottlenecks.
Parallelism addresses each of these components in significant ways.
Different applications utilize different aspects of parallelism - e.g., data itensive applications utilize high aggregate throughput, server applications utilize high aggregate network bandwidth, and scientific applications typically utilize high processing and memory system performance.
It is important to understand each of these performance bottlenecks.
1) Design and Implementation of Multicore Processors
2) Coherence and Consistency
3) Power and Temperature
4) Interconnects
5) Multicore Caches
6) Security
7) Real world examples
An explicitly parallel program must specify concurrency and interaction between concurrent subtasks.
The former is sometimes also referred to as the control structure and the latter as the communication model.
Very long instruction word or VLIW refers to a processor architecture designed to take advantage of instruction level parallelism
This type of processor architecture is intended to allow higher performance without the inherent complexity of some other approaches.
Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.
Architecture Challenges In Cloud ComputingIndicThreads
Session Presented @IndicThreads Cloud Computing Conference, Pune, India ( http://u10.indicthreads.com )
------------
The Java EE 6 platform is an extreme makeover from the previous versions. It breaks the “one size fits all” approach with Profiles and improves on the Java EE 5 developer productivity features. It enables extensibility by embracing open source libraries and frameworks such that they are treated as first class citizens of the platform. NetBeans, Eclipse, and IntelliJ provide extensive tooling for Java EE 6.
But how can you leverage all of this on a cloud ?
GlassFish v3, the Reference Implementation of Java EE 6, can easily run on multiple cloud infrastructures. This talk will provide a brief introduction to Java EE 6 and GlassFish v3. The attendees will learn how to create a simple Java EE 6 sample application and deploy them on GlassFish v3 running locally. Then it will deploy that sample using Amazon, RightScale, Joyent, and Elastra cloud infrastructures. It will also show how servers are dynamically provisioned in some environments to meet the demand. The talk will also explain the advantages of each approach enabling you to choose the optimal strategy for your environment.
Takeaways from the session
The attendees will be able to learn how to deploy a Java EE 6 application in different cloud environments. They’ll also learn about the pros/cons of these infrastructures.
Our Network Functions Virtualization (NFV) strategy is unique. We’ve worked closely with our customers and the industry to develop a truly open, secure and optimized NFV platform for the edge and the core of the network.
1) Design and Implementation of Multicore Processors
2) Coherence and Consistency
3) Power and Temperature
4) Interconnects
5) Multicore Caches
6) Security
7) Real world examples
An explicitly parallel program must specify concurrency and interaction between concurrent subtasks.
The former is sometimes also referred to as the control structure and the latter as the communication model.
Very long instruction word or VLIW refers to a processor architecture designed to take advantage of instruction level parallelism
This type of processor architecture is intended to allow higher performance without the inherent complexity of some other approaches.
Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.
Architecture Challenges In Cloud ComputingIndicThreads
Session Presented @IndicThreads Cloud Computing Conference, Pune, India ( http://u10.indicthreads.com )
------------
The Java EE 6 platform is an extreme makeover from the previous versions. It breaks the “one size fits all” approach with Profiles and improves on the Java EE 5 developer productivity features. It enables extensibility by embracing open source libraries and frameworks such that they are treated as first class citizens of the platform. NetBeans, Eclipse, and IntelliJ provide extensive tooling for Java EE 6.
But how can you leverage all of this on a cloud ?
GlassFish v3, the Reference Implementation of Java EE 6, can easily run on multiple cloud infrastructures. This talk will provide a brief introduction to Java EE 6 and GlassFish v3. The attendees will learn how to create a simple Java EE 6 sample application and deploy them on GlassFish v3 running locally. Then it will deploy that sample using Amazon, RightScale, Joyent, and Elastra cloud infrastructures. It will also show how servers are dynamically provisioned in some environments to meet the demand. The talk will also explain the advantages of each approach enabling you to choose the optimal strategy for your environment.
Takeaways from the session
The attendees will be able to learn how to deploy a Java EE 6 application in different cloud environments. They’ll also learn about the pros/cons of these infrastructures.
Our Network Functions Virtualization (NFV) strategy is unique. We’ve worked closely with our customers and the industry to develop a truly open, secure and optimized NFV platform for the edge and the core of the network.
Open Source Private Cloud Management with OpenStack and Security Evaluation w...XHANI TRUNGU
Nowadays, we hear about terms like, cloud computing, cloud architectures, virtualization technologies, cloud management systems, clustering and cloud security systems. By a first glance these terms are a bit vague, and questions arise about what is a cloud, what is virtualization and finally what is clustering.
Analysis and Design for Intrusion Detection System Based on Data MiningPritesh Ranjan
Reference:
Dyuanyang Zhao, Zhilin Feng, Qingxiang Xu, “Analysis and design for Intrusion detection system based on data mining” in proceedings of 2010 IEEE second international workshop on education technology and computer science
Implementing True Zero Cycle Branching in Scalar and Superscalar Pipelined Pr...IDES Editor
In this paper, we have proposed a novel architectural
technique which can be used to boost performance of modern
day processors. It is especially useful in certain code constructs
like small loops and try-catch blocks. The technique is aimed
at improving performance by reducing the number of
instructions that need to enter the pipeline itself. We also
demonstrate its working in a scalar pipelined soft-core
processor developed by us. Lastly, we present how a superscalar
microprocessor can take advantage of this technique and
increase its performance.
An Introduction to TensorFlow architectureMani Goswami
Introduces you to the internals of TensorFlow and deep dives into distributed version of TensorFlow. Refer to https://github.com/manigoswami/tensorflow-examples for examples.
Faster microprocessor design presentation in American International University-Bangladesh (AIUB). Presentation was taken under the subject "SELECTED TOPICS IN ELECTRICAL AND ELECTRONIC ENGINEERING (PROCESSOR AND DSP HARDWARE DESIGN WITH SYSTEM VERILOG, VHDL AND FPGAS) [MEEE]", as a final semester student of M.Sc at AIUB.
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...ijceronline
Embedded systems used in real-time applications require low power, less area and a high computation speed. For digital signal processing (DSP), image processing and communication applications, data are often received at a continuously high rate. Embedded processors have to cope with this high data rate and process the incoming data based on specific application requirements. Even though there are many different application domains, they all require arithmetic operations that quickly compute the desired values using a larger range of operation, reconfigurable behavior, low power and high precision. The type of necessary arithmetic operations may vary greatly among different applications. The RTL-based design and verification of one or more of these functions may be time-consuming. Some High Level Synthesis tools reduce this design and verification time but may not be optimal or suitable for low power applications. The developed MATLAB-based Arithmetic Engine improves design time and reduces the verification process, but the key point is to use a unified design that combines some of the basic operations with more complex operations to reduce area and power consumption. The results indicate that using the Arithmetic Engine from a simple design to more complex systems can improve design time by reducing the verification time by up to 62%. The MATLAB-based Arithmetic Engine generates structural RTL code, a testbench, and gives the designers more control. The MATLAB-based design and verification engine uses optimized algorithms for better accuracy at a better throughput.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. POINTS TO BE COVERED
• Introduction
• Need of Multithread Architecture
• Superscalar Architecture
• Thread & Its Characteristics
• RRM(Register Relocation Map)
• Multithreading Architecture
• Results and Analysis
• Conclusion
3. INTRODUCTION
• To increase instruction-level parallelism and hide the latencies of long-
latency operations in a superscalar processor.
• The effects of long-latency operations are detrimental to performance
since such operations typically cause a stall.
• Even superscalar processors, that are capable of performing various
operations in parallel, are vulnerable.
4. NEED OF MULTITHREAD ARCHITECTURE
• Multithreading is the logical separation of a task into independent threads whose
work may be done separate from one another, with limited interaction or
synchronization between threads.
• A thread may be anything from a light-weight process in the operating system
domain to a short sequence of machine instructions in a program.
• The execution of multiple threads, or contexts, on a multithreading processor A
dynamically-scheduled, functional-thread execution model and processor
architecture with on-chip thread management is presented in this paper
• Though the multithreading concepts and general thread presented in this paper
are not necessarily new, We present a unique multithreading superscalar
processor architecture.
5. SUPERSCALAR ARCHITECTURE
• The base superscalar architecture for this research is derived from and is
very similar named the Superscalar Digital Signal Processor (SDSP)
• It employs a central instruction window into which instructions are fetched,
and from which they are scheduled to multiple, independent functional
units, potentially out-of-order.
• Stalls prevent instruction results at the bottom of the buffer from being
committed to the register file, and new instructions from being fetched
7. THREAD & ITS CHARACTERISTICS
• A thread is a machine code sequence that is explicitly specified as distinct
from other threads of the same program; thread creation and synchronizing
instructions are used.
• These specify parallelism and serve to direct multithreaded control flow and
synchronization.
• No data dependencies
• The fork instruction is used to spawn a new thread of control in the program.
• The join instruction is used to synchronize or merge multiple threads into a
single continuing thread
8. THREAD REGISTER ALLOCATION AND REMAPPING
• A register usage and allocation scheme that dynamically partitions the
register file and uses runtime register remapping was devised
• This partitioning allows threads to execute the same code, and assumes a
general purpose register set of 32 registers, but may be scaled to other sizes.
• Register numbers specified in machine instructions are logical registers which
are mapped, during decode, to physical registers according to a thread’s
Register Relocation Map (RRM)
• The user-visible register set consists of thirty-two 32- bit general purpose
registers; the processor actually has 64 physical registers.
9. • Below figure shows that Actually only a subset of the registers are
remapped, as others serve as registers common between threads (e.g. for
synchronization).
• Above lists the possible register set partitionings and associated RRM values.
10. MULTITHREADING ARCHITECTURE
• Latency hiding without stalling is accomplished by suspending a thread.
• The instruction is removed from the main pipeline of the processor (central
instruction window) and placed into a buffer associated with the functional unit
doing the computation.
11. • The block diagram illustrates the
flow of control and data as they
relate to thread scheduling.
• TAS keeps information about thread
• Thread Suspending Instruction
Buffers (TSIB).
• Scheduling Unit and Pipeline.
• Instruction Fetch
• Instruction Decode.
• Instruction Issue.
• Instruction Execution.
12. • Data Cache-Miss
• When a load instruction misses the data cache (Dcache), it effectively
becomes a long-latency instruction even though it was not initially recognized
as such in the Decode phase.
• Dcache-miss is not recognized until the execute phase of the pipeline.
• At most, only a few instructions must be discarded in a scalar processor ,
equal to the number of pipeline phases that precede the phase in which the
Dcache-miss is recognized.
• It is not feasible to invalidate all instructions of the thread that came after the
Dcachemissing load instruction
• There is no reason to suspend a thread upon a Dcache-miss.
13. • Remote Loads and Stores
Remote loads are issued into a Load Queue of TSIBs of the Load Unit
• Instruction Commit and Write-Back
The completion of a TSI is relatively complex
• Branch Handling and Mispredict Recovery
Branch prediction occurs normally except that the PC affected is that
of the branch instruction’s thread
14. RESULTS & ANALYSIS
• Figure shows the execution cycle counts
of the benchmarks, comparing the
single-threaded (ST) run against the
multithreaded (MT) run. The cycle counts
were normalized to the common
denominator of one million cycles for
the single-threaded runs. The results
show an average multithreading
speedup of 1.51.
15. • Figure 5 shows the difference between
multithreading results obtained with and without
suspending. The point of reference is the
normalized result of running multithreaded
programs with the processor in no-suspend mode.
• Overall, it is clear that suspension functionality of
the processor is worth the added cost as
multithreading would otherwise not offer nearly
as much benefit.
16. • Figure shows the improved performance of
multithreading with an cache large enough to
contain the entire program once initially
loaded. Appreciable improvement is seen even
with this cold-start simulation test.
17. • Data Cache Miss Latencies
The latency of a Dcache miss is not hidden
but rather its effects are mitigated with
multithreading. Figure 7 shows results.
• Full Model
Full model simulations were done to see if
the modeling of the various latency hiding features
would conflict with one another in a way as to
decrease multithreading performance.
21. CONCLUSION
• The multithreading superscalar processor architecture presented here can say
decisively to significantly improve performance on a single thread superscalar
execution. The simulation results show that increased efficiency through
multithreading as an opportunity to hide the latency increases.
• Performance advantage of multithreading, however, closely related to
availability of different independent instruction. When a thread is suspended,
it is necessary to have a sufficient instructions from other threads to fill the
void. It is also found that if a program has a very good single threaded
performance ,multithreading offers less of an advantage.