This master's thesis presents a consistent modeling technique for creating accurate transaction level models. It describes refining an existing C model of the SPINNI system into a transaction level model by structuring it based on the original VHDL design. Timing information is integrated by adding time-based and event-based delays calibrated to the VHDL model. Functional regression is automated to validate the transaction level models against the C and VHDL versions. Simulation time and CPU time comparisons demonstrate the transaction level models achieve an order of magnitude speedup over VHDL while maintaining timing accuracy.
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
Incremental pattern matching in the VIATRA2 model transformation frameworkIstvan Rath
This document discusses incremental pattern matching in the VIATRA2 model transformation framework. It introduces incremental pattern matching using the RETE algorithm as implemented in VIATRA2. The RETE algorithm caches pattern matches and incrementally updates them as the model changes. This allows pattern matching to be performed incrementally for efficient model transformations on evolving models. The document outlines how RETE networks are constructed from patterns and how they are updated based on model changes notified through the VIATRA framework. Initial performance analysis is discussed to compare incremental versus local search approaches.
The IMPL console executable (IMPL.exe) can be called from any DOS command prompt window where its Intel Fortran source code can be found in Appendix A. The IMPL console is useful given that it allows you to model and solve problems configured in an IML (Industrial Modeling Language) file. Problems coded using IPL (Industrial Programming Language) in many computer programming languages can use the IMPL console source code as a prototype.
The IMPL console reads several input files and writes several output files which are described in this document. There are several console flags that can be specified as command line arguments and are described below.
The C preprocessor provides directives that modify the source code before compilation. It defines symbols, includes header files, and allows conditional compilation. Directives like #define create constants and macros, #include inserts other files, and #ifdef/#ifndef only compile code if a symbol is defined/undefined. This allows flexible modification of the code based on conditions.
This document provides an overview of C++ Essentials, a book that introduces the C++ programming language. The book is divided into 12 chapters that cover topics such as variables, expressions, statements, functions, arrays, pointers, classes, inheritance, templates, exceptions, input/output streams, and the preprocessor. Each chapter presents the concepts through explanations and examples in a concise tutorial style suitable for beginners to learn C++.
On verifying ATL transformations using `off-the-shelf' SMT solversfabianbuettner
The document discusses verifying ATL model transformations using satisfiability modulo theories (SMT) solvers. It presents an approach that addresses the partial correctness of ATL transformations with respect to OCL pre- and postconditions. The approach translates the verification problem into a first-order logic problem and employs SMT solvers to check it. It then applies this approach to verify example ATL transformations between ER and REL metamodels.
Introduction to developing or migrating models to be compliant to the OpenMI Standard. OpenMI is an open standard which allows dynamic linking of numerical models, such as river models rainfall-runoff models and so on. See also:
http://www.lictek.com
Introduction to developing or migrating models to be compliant to the OpenMI Standard. OpenMI is an open standard which allows dynamic linking of numerical models, such as river models rainfall-runoff models and so on. See also:
http://www.lictek.com
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
Incremental pattern matching in the VIATRA2 model transformation frameworkIstvan Rath
This document discusses incremental pattern matching in the VIATRA2 model transformation framework. It introduces incremental pattern matching using the RETE algorithm as implemented in VIATRA2. The RETE algorithm caches pattern matches and incrementally updates them as the model changes. This allows pattern matching to be performed incrementally for efficient model transformations on evolving models. The document outlines how RETE networks are constructed from patterns and how they are updated based on model changes notified through the VIATRA framework. Initial performance analysis is discussed to compare incremental versus local search approaches.
The IMPL console executable (IMPL.exe) can be called from any DOS command prompt window where its Intel Fortran source code can be found in Appendix A. The IMPL console is useful given that it allows you to model and solve problems configured in an IML (Industrial Modeling Language) file. Problems coded using IPL (Industrial Programming Language) in many computer programming languages can use the IMPL console source code as a prototype.
The IMPL console reads several input files and writes several output files which are described in this document. There are several console flags that can be specified as command line arguments and are described below.
The C preprocessor provides directives that modify the source code before compilation. It defines symbols, includes header files, and allows conditional compilation. Directives like #define create constants and macros, #include inserts other files, and #ifdef/#ifndef only compile code if a symbol is defined/undefined. This allows flexible modification of the code based on conditions.
This document provides an overview of C++ Essentials, a book that introduces the C++ programming language. The book is divided into 12 chapters that cover topics such as variables, expressions, statements, functions, arrays, pointers, classes, inheritance, templates, exceptions, input/output streams, and the preprocessor. Each chapter presents the concepts through explanations and examples in a concise tutorial style suitable for beginners to learn C++.
On verifying ATL transformations using `off-the-shelf' SMT solversfabianbuettner
The document discusses verifying ATL model transformations using satisfiability modulo theories (SMT) solvers. It presents an approach that addresses the partial correctness of ATL transformations with respect to OCL pre- and postconditions. The approach translates the verification problem into a first-order logic problem and employs SMT solvers to check it. It then applies this approach to verify example ATL transformations between ER and REL metamodels.
Introduction to developing or migrating models to be compliant to the OpenMI Standard. OpenMI is an open standard which allows dynamic linking of numerical models, such as river models rainfall-runoff models and so on. See also:
http://www.lictek.com
Introduction to developing or migrating models to be compliant to the OpenMI Standard. OpenMI is an open standard which allows dynamic linking of numerical models, such as river models rainfall-runoff models and so on. See also:
http://www.lictek.com
C is a general-purpose programming language developed in the 1970s. It was created by Dennis Ritchie at Bell Labs to be used for the Unix operating system. Some key features of C include it being a mid-level language, supporting structured programming, having a rich standard library, and allowing for pointers and recursion. A simple "Hello World" program in C prints a message using printf and waits for input with getch. C supports various data types, operators, control structures like if/else and loops, functions, arrays, and pointers.
This document provides an introduction to the C programming language. It covers C program structure, variables, expressions, operators, input/output, loops, decision making statements, arrays, strings, functions, pointers, structures, unions, file input/output and dynamic memory allocation. The document uses examples and explanations to introduce basic C syntax and concepts.
This document is a presentation on D Programming by Jonathan Mercier. It includes an introduction to D Programming and covers topics like objects, functions, parallelism, and basics of the language. The presentation is divided into sections on introduction, basics, GTK D, and thanks. It also provides context on why a new language was needed by listing the dates of other major languages like C++, Java, Python, and Ruby.
This document discusses an introduction to programming in C course taught by Jeena Sara Viju. It covers topics like algorithms and flowcharts, structured programming concepts, the C language introduction, data types, variables, arrays, expressions, statements, and functions. It provides examples of algorithms to add two numbers and find the area of a circle. It also discusses flowchart symbols and provides a flowchart to add two numbers. Key aspects of C like identifiers, keywords, character set, and program structure are explained.
This document provides an overview of C programming. It discusses the history and development of C, basics of the language including variables, data types, operators, and program structure. Key points covered include:
- C was created in 1972 by Dennis Ritchie at Bell Labs to provide a system programming language with both high- and low-level capabilities.
- The basics of C include variables to store data, constants to define fixed values, keywords for language instructions, and data types like integer, float, and character.
- A C program follows a basic structure with preprocessor directives, main function, opening and closing braces, and a return statement.
- Control structures like if/else statements allow programs to
This document provides an overview and structure of a course on advanced C language for engineering. It discusses topics that will be covered including the FILE methodology, literate programming with cweb tools, classes for embedded systems, and using C with Lex and YACC for linguistic support. The document outlines the overall structure of the course and provides examples to introduce fundamental C concepts like variables, data types, loops, conditional statements, and functions.
The document provides information about a C programming module including:
- It is a 15 credit module comprising 50 hours of lectures and 50 hours of self-study.
- Assessment includes a CAT worth 60 marks and a final exam worth 40 marks.
- The module aims to teach students how to write and debug C programs, structured program design, and use C language constructs to solve problems in various areas.
Lec 02. C Program Structure / C Memory ConceptRushdi Shams
This document discusses the structure and components of a basic C program. It includes an example program that prints a message and takes the sum of two integers input by the user. The key parts of the program are explained, including the main function, header files, library functions, variable declaration, and memory allocation. Comments are included to explain the purpose of each section of code.
The document introduces C language fundamentals including its history, characteristics, structure of C programs, and compiling and executing C programs. C was developed in the 1970s at Bell Labs and derived from earlier languages like BCPL and B. It is a general purpose, structured programming language commonly used to develop system software. A C program consists of preprocessor statements, global declarations, the main function, and other user-defined functions. The standard procedure to execute a C program involves writing code, compiling, linking libraries, and running the executable file.
This document is the table of contents for a book on C programming. It lists 88 example C programs that are intended to teach C concepts in an evolutionary manner. The programs cover basics like input/output, variables, data types, operators, loops, conditional statements, arrays, functions, pointers, structures, file I/O and more. The programs are presented from simplest to more complex to help programmers learn each new element of the C language.
At the end of this lecture students should be able to;
Describe features of C programming language.
Justify the terminology related to computer programming.
Define the editing, compiling, linking, debugging stages of C programming
Recognize the basic structure of a C program
Apply comments for C programs to improve readability.
This document discusses various C programming concepts including macros vs functions, ANSI C standards, constants, structures, unions, enums, storage classes like automatic, external, static, and register variables, and references for further reading. It provides examples to illustrate key differences between macros and functions, declaring and initializing constants, defining and using nested structures, unions that allow storing different data types in the same memory location, and static variables that retain their value between function calls.
The document discusses a common exchange format called DPDx for sharing design pattern detection results between different tools. It proposes metamodels to define design patterns, program element identifiers, and detection results to allow different tools to exchange information in a consistent way. This will enable combining results from multiple tools and improved analysis.
Staroletov Design by Contract, verification of Cyber-physical systemsSergey Staroletov
The document discusses various techniques for modern software testing and formal verification, including:
1. Design-by-contract using pre-conditions, post-conditions, and invariants as implemented in languages like Eiffel and tools like Microsoft Code Contracts for .NET programs.
2. Deductive verification of C code using the Frama-C tool based on annotations and the weakest precondition approach.
3. Verification of cyber-physical systems modeled as hybrid automata using techniques like the KeYmaera theorem prover based on hybrid logic.
Binary code obfuscation through c++ template meta programmingnong_dan
This document presents methods for obfuscating C++ code through the use of template metaprogramming. It introduces template metaprogramming in C++ and how it can be used to perform computations at compile time. It then describes how to add randomization to template metaprograms using a linear congruential pseudorandom number generator. The document outlines various techniques for obfuscating integer arithmetic operations, including through the use of identities from boolean logic and two's complement arithmetic. It also discusses the insertion of opaque predicates to increase program complexity and generation of dead code. Finally, it covers obfuscating data values through encryption and masking techniques.
DOUBLE PRECISION FLOATING POINT CORE IN VERILOGIJCI JOURNAL
A floating-point unit (FPU) is a math coprocessor, a part of a computer system specially designed to carry
out operations on floating point numbers. The term floating point refers to the fact that the radix point can
"float"; that is, it can placed anywhere with respect to the significant digits of the number. Double
precision floating point, also known as double, is a commonly used format on PCs due to its wider range
over single precision in spite of its performance and bandwidth cost. This paper aims at developing the
verilog version of the double precision floating point core designed to meet the IEEE 754 standard .This
standard defines a double as sign bit, exponent and mantissa. The aim is to build an efficient FPU that
performs basic functions with reduced complexity of the logic used and also reduces the memory
requirement as far as possible.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
This document presents a reusable test infrastructure for verifying RTL designs using a mixed-language and mixed-level integration approach based on the IP-XACT standard. The test infrastructure is implemented primarily in SystemC TLM2 with a small part in VHDL. It includes configurable components like a processor, memory, peripherals and bus. A case study is described where the infrastructure is used to verify a microcontroller design with interfaces like I2C, SPI and UART through randomized software verification. The infrastructure can be automatically generated from an IP-XACT description based on user-provided configuration values.
This document discusses the differences between simulation and synthesis in Verilog design. It defines simulation as modeling the behavior of a design for verification purposes, while synthesis is the process of converting Verilog code into an optimized gate-level representation for implementation. The document outlines synthesizable and non-synthesizable Verilog constructs, noting that only a subset of constructs can be synthesized, including registers, always blocks, and assign statements but excluding initial blocks, real data types, and system tasks.
C is a general-purpose programming language developed in the 1970s. It was created by Dennis Ritchie at Bell Labs to be used for the Unix operating system. Some key features of C include it being a mid-level language, supporting structured programming, having a rich standard library, and allowing for pointers and recursion. A simple "Hello World" program in C prints a message using printf and waits for input with getch. C supports various data types, operators, control structures like if/else and loops, functions, arrays, and pointers.
This document provides an introduction to the C programming language. It covers C program structure, variables, expressions, operators, input/output, loops, decision making statements, arrays, strings, functions, pointers, structures, unions, file input/output and dynamic memory allocation. The document uses examples and explanations to introduce basic C syntax and concepts.
This document is a presentation on D Programming by Jonathan Mercier. It includes an introduction to D Programming and covers topics like objects, functions, parallelism, and basics of the language. The presentation is divided into sections on introduction, basics, GTK D, and thanks. It also provides context on why a new language was needed by listing the dates of other major languages like C++, Java, Python, and Ruby.
This document discusses an introduction to programming in C course taught by Jeena Sara Viju. It covers topics like algorithms and flowcharts, structured programming concepts, the C language introduction, data types, variables, arrays, expressions, statements, and functions. It provides examples of algorithms to add two numbers and find the area of a circle. It also discusses flowchart symbols and provides a flowchart to add two numbers. Key aspects of C like identifiers, keywords, character set, and program structure are explained.
This document provides an overview of C programming. It discusses the history and development of C, basics of the language including variables, data types, operators, and program structure. Key points covered include:
- C was created in 1972 by Dennis Ritchie at Bell Labs to provide a system programming language with both high- and low-level capabilities.
- The basics of C include variables to store data, constants to define fixed values, keywords for language instructions, and data types like integer, float, and character.
- A C program follows a basic structure with preprocessor directives, main function, opening and closing braces, and a return statement.
- Control structures like if/else statements allow programs to
This document provides an overview and structure of a course on advanced C language for engineering. It discusses topics that will be covered including the FILE methodology, literate programming with cweb tools, classes for embedded systems, and using C with Lex and YACC for linguistic support. The document outlines the overall structure of the course and provides examples to introduce fundamental C concepts like variables, data types, loops, conditional statements, and functions.
The document provides information about a C programming module including:
- It is a 15 credit module comprising 50 hours of lectures and 50 hours of self-study.
- Assessment includes a CAT worth 60 marks and a final exam worth 40 marks.
- The module aims to teach students how to write and debug C programs, structured program design, and use C language constructs to solve problems in various areas.
Lec 02. C Program Structure / C Memory ConceptRushdi Shams
This document discusses the structure and components of a basic C program. It includes an example program that prints a message and takes the sum of two integers input by the user. The key parts of the program are explained, including the main function, header files, library functions, variable declaration, and memory allocation. Comments are included to explain the purpose of each section of code.
The document introduces C language fundamentals including its history, characteristics, structure of C programs, and compiling and executing C programs. C was developed in the 1970s at Bell Labs and derived from earlier languages like BCPL and B. It is a general purpose, structured programming language commonly used to develop system software. A C program consists of preprocessor statements, global declarations, the main function, and other user-defined functions. The standard procedure to execute a C program involves writing code, compiling, linking libraries, and running the executable file.
This document is the table of contents for a book on C programming. It lists 88 example C programs that are intended to teach C concepts in an evolutionary manner. The programs cover basics like input/output, variables, data types, operators, loops, conditional statements, arrays, functions, pointers, structures, file I/O and more. The programs are presented from simplest to more complex to help programmers learn each new element of the C language.
At the end of this lecture students should be able to;
Describe features of C programming language.
Justify the terminology related to computer programming.
Define the editing, compiling, linking, debugging stages of C programming
Recognize the basic structure of a C program
Apply comments for C programs to improve readability.
This document discusses various C programming concepts including macros vs functions, ANSI C standards, constants, structures, unions, enums, storage classes like automatic, external, static, and register variables, and references for further reading. It provides examples to illustrate key differences between macros and functions, declaring and initializing constants, defining and using nested structures, unions that allow storing different data types in the same memory location, and static variables that retain their value between function calls.
The document discusses a common exchange format called DPDx for sharing design pattern detection results between different tools. It proposes metamodels to define design patterns, program element identifiers, and detection results to allow different tools to exchange information in a consistent way. This will enable combining results from multiple tools and improved analysis.
Staroletov Design by Contract, verification of Cyber-physical systemsSergey Staroletov
The document discusses various techniques for modern software testing and formal verification, including:
1. Design-by-contract using pre-conditions, post-conditions, and invariants as implemented in languages like Eiffel and tools like Microsoft Code Contracts for .NET programs.
2. Deductive verification of C code using the Frama-C tool based on annotations and the weakest precondition approach.
3. Verification of cyber-physical systems modeled as hybrid automata using techniques like the KeYmaera theorem prover based on hybrid logic.
Binary code obfuscation through c++ template meta programmingnong_dan
This document presents methods for obfuscating C++ code through the use of template metaprogramming. It introduces template metaprogramming in C++ and how it can be used to perform computations at compile time. It then describes how to add randomization to template metaprograms using a linear congruential pseudorandom number generator. The document outlines various techniques for obfuscating integer arithmetic operations, including through the use of identities from boolean logic and two's complement arithmetic. It also discusses the insertion of opaque predicates to increase program complexity and generation of dead code. Finally, it covers obfuscating data values through encryption and masking techniques.
DOUBLE PRECISION FLOATING POINT CORE IN VERILOGIJCI JOURNAL
A floating-point unit (FPU) is a math coprocessor, a part of a computer system specially designed to carry
out operations on floating point numbers. The term floating point refers to the fact that the radix point can
"float"; that is, it can placed anywhere with respect to the significant digits of the number. Double
precision floating point, also known as double, is a commonly used format on PCs due to its wider range
over single precision in spite of its performance and bandwidth cost. This paper aims at developing the
verilog version of the double precision floating point core designed to meet the IEEE 754 standard .This
standard defines a double as sign bit, exponent and mantissa. The aim is to build an efficient FPU that
performs basic functions with reduced complexity of the logic used and also reduces the memory
requirement as far as possible.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
This document presents a reusable test infrastructure for verifying RTL designs using a mixed-language and mixed-level integration approach based on the IP-XACT standard. The test infrastructure is implemented primarily in SystemC TLM2 with a small part in VHDL. It includes configurable components like a processor, memory, peripherals and bus. A case study is described where the infrastructure is used to verify a microcontroller design with interfaces like I2C, SPI and UART through randomized software verification. The infrastructure can be automatically generated from an IP-XACT description based on user-provided configuration values.
This document discusses the differences between simulation and synthesis in Verilog design. It defines simulation as modeling the behavior of a design for verification purposes, while synthesis is the process of converting Verilog code into an optimized gate-level representation for implementation. The document outlines synthesizable and non-synthesizable Verilog constructs, noting that only a subset of constructs can be synthesized, including registers, always blocks, and assign statements but excluding initial blocks, real data types, and system tasks.
Close encounters in MDD: when Models meet Codelbergmans
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
http://www.cetpainfotech.com
This paper analyzes the effects of different Network-on-Chip (NoC) modeling styles in SystemC on simulation speed compared to a reference VHDL model. Two approximately timed (AT) and loosely timed (LT) transaction level (TL) models achieved 13-40x and 20-30x speedups respectively over the VHDL model with less than 10% error. The AT model offered a notable speedup with modest error and is recommended over the LT model which did not provide significant additional speedup despite larger estimation errors, especially under higher loads. Increasing transfer size and raising the abstraction level to transaction-level modeling were found to be effective methods to significantly improve simulation performance for evaluating NoC designs.
The following resources come from the 2009/10 BEng in Digital Systems and Computer Engineering (course number 2ELE0065) from the University of Hertfordshire. All the mini projects are designed as level two modules of the undergraduate programmes.
The objectives of this module are to demonstrate, within an embedded development environment:
• Processor – to – processor communication
• Multiple processors to perform one computation task using parallel processing
This project requires the establishment of a communication protocol between two 68000-based microcomputer systems. Using ‘C’, students will write software to control all aspects of complex data transfer system, demonstrating knowledge of handshaking, transmission protocols, transmission overhead, bandwidth, memory addressing. Students will then demonstrate and analyse parallel processing of a mathematical problem using two processors. This project requires two students working as a team.
Use C++ and Intel® Threading Building Blocks (Intel® TBB) for Hardware Progra...Intel® Software
In this presentation, we focus on an alternative approach that uses nodes that contain Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors. Programming models and the development tools are identical for these resources, greatly simplifying development. We discuss how the same models for vectorization and threading can be used across these compute resources to create software that performs well on them. We further propose an extension to the Intel® Threading Building Blocks (Intel® TBB) flow graph interface that enables intra-node distributed memory programming, simplifying communication, and load balancing between the processors and coprocessors. Finally, we validate this approach by presenting a benchmark of a risk analysis implementation that achieves record-setting performance.
The document appears to be a block of random letters with no discernible meaning or purpose. It consists of a series of letters without any punctuation, formatting, or other signs of structure that would indicate it is meant to convey any information. The document does not provide any essential information that could be summarized.
Design of Real - Time Operating System Using Keil µVision Ideiosrjce
This document describes the design of a real-time operating system called EMX using the Keil μVision IDE. EMX implements priority-based task scheduling, interrupt nesting support, timing functions, and synchronization mechanisms like binary semaphores, mailboxes, and message queues. The design focuses on explaining context switching via stack manipulation and synchronization. Key aspects of EMX include static memory allocation for tasks and stacks, fast context switching using saved register contexts, priority-based scheduling via a distributed task control block representation, and interrupt handling with nested interrupt support. Examples are provided on using EMX APIs for semaphores, mailboxes, and message queues.
4 - Simulation and analysis of different DCT techniques on MATLAB (presented ...Youness Lahdili
This document discusses and compares different algorithms for implementing the Discrete Cosine Transform (DCT) in MATLAB. It first provides background on DCT and its importance in video compression. It then simulates and analyzes 4 DCT techniques: Chen form, Loeffler form, an 8x8 basic pattern form, and MATLAB's built-in dct2 function. For each, it measures performance metrics like MSE, PSNR, and speed. It finds that the Chen form has the fastest execution time and lowest MSE. While the basic pattern form may be improved, the built-in dct2 is the slowest. The document concludes DCT optimization is still needed and describes algorithms that could further improve speed without affecting output quality.
This document discusses integrating behavior protocols into Enterprise Java Beans (EJBs). It first provides an overview of component models that explicitly specify protocols. It then introduces the notion of coherence between protocols specified at the implementation and specification levels, and how to verify compliance and coherence. Finally, it discusses integrating explicit protocols into the EJB component model.
Collaborative modeling and co simulation with destecs - a pilot studyDaniele Gianni
The document describes a pilot study conducted using the DESTECS collaborative modeling and co-simulation approach. The study involved developing models of a line-following robot using both discrete-event and continuous-time modeling formalisms. The models were integrated using the DESTECS co-simulation engine. Faults were then modeled and experiments conducted to test fault tolerance mechanisms. The results demonstrated the feasibility of the DESTECS concepts and identified areas for further work, such as model construction methods and design of experiments.
The AVM and OVM in IP Core Verification - Experiences and ObservationsDVClub
This document discusses the use of the OVM (Open Verification Methodology) and AVM (Accelerated Verification Methodology) for verifying IP cores. It provides an overview of the timeline of OVM and AVM releases used for verification. It also describes some example test environments developed using OVM, including testbenches created for an CPRI core and I/Q module. The document concludes that using a functional verification methodology like OVM can improve verification quality but the specific methodology is not as important as having a comprehensive verification strategy.
This document discusses the use of the OVM (Open Verification Methodology) and AVM (Accelerated Verification Methodology) for verifying IP cores. It provides an overview of the timeline of OVM and AVM releases used for verification. It also describes some example test environments developed using OVM, including testbenches created for an Ethernet core and a CPRI core. Specific components like an I/Q module within the CPRI core are also discussed. The document emphasizes that a functional verification methodology is important but which specific one is used is not as important as applying best practices. It concludes by asking if there are any questions.
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Chapter 2
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4. BCP, Surveying volume 1
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Consistent Modeling Technique for Accurate Transaction Level Models
1. Consistent Modeling Technique for Accurate
Transaction Level Models
(Master Thesis)
Hui Chen
Professor : Prof. Dr.-Ing. Ulf Schlichtmann
Advisors Prof. Dr Ing
Ad isors : Prof Dr.-Ing. Wolfgang Ecker
Ecker,
Dipl.-Ing. Michael Velten
April 22, 2008
COM BTS MT SD
Institute for EDA
2. Motivation
Complex SoC design, but limited time to market
Start software development and validation before RTL is available
Raise design to higher abstraction levels: Transaction Level (TL)
Early availability of TL Models due to high degree of abstraction
Existent RTL legacy in new SoCs => Need to be modeled at TL too
Not only functional but also timing accurate TL models:
To ensure the order of interrupts, to analyze the system performance, …
Obtaining TL models
....
switch(base_addr) {
case 2: pbus_read(...); break;
case 1: ...
... } TL TL TL
...
Functional Model
TL
Component
TL TL
RTL
A Complete TL SoC Design
Component
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 2
3. Task Description
Free IP "Plasma"
F "Pl "
enhancement / Plasma VHDL Model Plasma C Model
bug fixes alignment
restructure
SPINNI VHDL Model SPINNI C Model refinement
....
switch(base_addr) {
it h(b dd )
case 2: pbus_read(...); break;
case 1: ...
... }
...
functional comparison
f ti l i
SPINNI TL Model
timing
comparison
SPINNI Timed TL Model
Presentation Part
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 3
4. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 4
5. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 5
6. Principles of TL Modeling
Initiator Target
initiator_port target_port
implements a
remote function call
function
Transactions : communication between modules via
function calls
Synchronization : no toggling clock, time-based or
event-based
Modules : basic building blocks
Ports : bind modules and channels
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 6
7. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 7
8. SPINNI VHDL & C Models
SPINNI: Restructure Plasma
Get a clear architecture
Plasma Model SPINNI Model
restructure
Make the modules traceable and comparable
Make the model extensible
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 8
9. SPINNI VHDL & C Models
SPINNI VHDL Model
irq_sig
CPU
gpio_irq
timer_irq
Main_Bus ICU 4 uart_irq
2
GPIO 2
Timer
Periph_Bus
UART
RAM XRAM
TBE1 TBE2
Fig. 2.1: Block Diagram of the SPINNI VHDL Model
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 9
10. SPINNI VHDL & C Models
SPINNI C Model
irq_sig
CPU
cpu_run
gpio_irq
timer_irq
Main_Bus ICU 4 uart_irq
2
GPIO 2
Timer
Ti
Periph_Bus
main_bus_write UART
main_bus_read RAM XRAM
TBE1 TBE2
ram_write xram_write periph_bus_write
ram_read xram_read periph_bus_read
uart_write gpio_write
uart_read
t d gpio_read
i d
Fig. 2.2: Hierarchical Function Calls
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 10
11. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 11
12. Refinement from C to TL
Structure Based Refinement
SPINNI C Model
Module Access Type
uart_read
uart_write
uart write
ram_read
... ...
Module
SPINNI TL UART Module Access
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 12
13. Refinement from C to TL
Combining Created TL Modules
irq_sig
CPU
gpio_irq
ICU timer_irq
Main_Bus 4 uart_irq
2
GPIO 2
Timer
Periph_Bus
RAM XRAM
UART
: sc_port : sc_export
TBE1 TBE2
Fig. 3.1: Block Diagram of the SPINNI TL Model
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 13
14. Refinement from C to TL
Implementation of C Functions in Module Interfaces
irq_sig
CPU
periph_bus_read
main_bus_read
gpio_irq
ICU timer_irq
Main_Bus 4 uart_irq
ead
2
gpio_re
GPIO 2
ram_read xram_read
Timer
Periph_Bus
uart_read
RAM XRAM
UART
: sc_port
sc port : sc_export
sc export
TBE1 TBE2
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 14
15. Refinement from C to TL
SPINNI TL Model
Reflects the functionality of the SPINNI VHDL model
Enables SW development, co-simulation of HW and SW
No timing information
no prediction for the overall performance of the system
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 15
16. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 16
17. Timing Accuracy
Measure & add timing information
VHDL RTL Model TL Model
Timing
Information
time
time
Basic ways to add timing
y g
¬ Time-based: wait(time)
¬ Event-based: event_name.notify(time)
¬ …
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 17
18. Timing Accuracy
Selected Problem Cases
1. How to align timing after reset ?
2. How to align instruction processing timing ?
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 18
19. Timing Accuracy
Align Timing after Reset
n cycles
l
reset
register1 0
i t 1 4
(a) In the SPINNI VHDL Model
void initialize() { trigger
register1 = 0;
// notify event void module_run() {
// after n cycles register1 = 4;
} }
register1 0 4
(b) In the SPINNI TL Model
* assuming the reset lasts n clock cycles in the SPINNI VHDL model
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 19
20. Timing Accuracy
Align Instruction Processing Timing
Clock Cycle # 0 1 2 3 4 5
Stage 1: Instruction Fetch
Stage 2: Execution
(a) Two Pipeline Stages in the SPINNI VHDL Model
wait (time)
(b) No Pipeline Stage in the SPINNI TL Model
Note: “time” in “wait (time)” equals to 1 clock period of the SPINNI VHDL Model
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 20
21. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 21
22. Validation of Concept
Regression Automation for Functional Comparison
50 test cases k-th Test Case
VHDL Model C Model TL Models
New VHDL E
N Execution
ti New C Execution New TL E
N Execution
ti
Instruction Memory Instruction Memory Instruction Memory
Trace Dumps Trace Dumps Trace Dumps
Golden Reference
Instruction Memory
Trace
T Dumps
D
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 22
23. Validation of Concept
Selected Test Simulation Time VHDL (ns) Simulation Time TL (ns)
Algorithmic Test 42942800 42942800
I/O Test 5441500 5441500
IRQ Test 7331400 7331400
Fig. 5.1: Simulation Time Comparison between VHDL & Timed TL Models
50 User CPU Time VHDL (s)
45 User CPU Time TL (s)
40
35 Selected User CPU User CPU Factor
30 Test Time VHDL Time TL
(sec.) (sec.)
25
20 g
Algorithmic 0.87
40.87 2.87
.87 14
15 Test
10 I/O Test 14.40 1.25 12
5 IRQ Test 18.21 1.51 12
0
Test case 1 Test case 2 Test case 3
Fig. 5.2: User CPU Time Comparison between VHDL & Timed TL Models
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 23
24. Outline
1. Principles of TL Modeling
2. SPINNI VHDL & C Models
3. Refinement from C to TL
4. Timing Accuracy
5. Validation of Concept
6. Conclusion & Outlook
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 24
25. Conclusion & Outlook
Conclusion
SPINNI system with a clear architecture
Shown how to refine C to TL model
Ways for adding timing information to the TL model
Cases to make the timing accurate using RTL model
Method for functional comparison, results of timing comparison
comparison
Outlook
Adopt the forthcoming TLM standard v2.0 for further improvement of
performance
Develop a methodology for fully automatic timing integration
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 25
26. Thank You!
Any Question?
Contact: Hui Chen hui.chen@ieee.org
April 22, 2008 Consistent Modeling Technique for Accurate Transaction Level Models Page 26