Computing Scheme of Work 2014 –Year 3
... debug errors in their programming. Have incomplete programs and programs with errors that the pupils must fix. Give pupils a program and they must predict the outcome and then test their prediction to see if they were correct. CHALLENGE - Children use if command on Probot or other floor robot to pro ...
... debug errors in their programming. Have incomplete programs and programs with errors that the pupils must fix. Give pupils a program and they must predict the outcome and then test their prediction to see if they were correct. CHALLENGE - Children use if command on Probot or other floor robot to pro ...
Grid - Department of Computer Science
... • Several MPI implementations exist for the grid • PACX MPI (Stutgart): – Runs on heterogeneous systems ...
... • Several MPI implementations exist for the grid • PACX MPI (Stutgart): – Runs on heterogeneous systems ...
Functional Programming Languages and Dataflow Principles
... seems a natural way to do things Many FPLs cheat – they allow impure features ...
... seems a natural way to do things Many FPLs cheat – they allow impure features ...
Document
... Based on transistors and printed circuits (resulting in much smaller computers) Could handle interpreters such as FORTRAN (for science) or COBOL (for business Much more flexible in their applications ...
... Based on transistors and printed circuits (resulting in much smaller computers) Could handle interpreters such as FORTRAN (for science) or COBOL (for business Much more flexible in their applications ...
Symbolic address
... computer to perform a data processing task. • Many programming languages (C++, JAVA). However, the computer executes programs when they are represented internally in binary form. • Binary code: a binary representation of instructions and operands as they appear in computer memory. • Octal or hexadec ...
... computer to perform a data processing task. • Many programming languages (C++, JAVA). However, the computer executes programs when they are represented internally in binary form. • Binary code: a binary representation of instructions and operands as they appear in computer memory. • Octal or hexadec ...
CPSC 111
... capable of both high level machine independent programming and would still allow the programmer to control the behavior of individual bits of data. too large for use in many applications. 1967, BCPL (Basic CPL): a scaled down version of CPL. In 1970, B: a scaled down version of BCPL written sp ...
... capable of both high level machine independent programming and would still allow the programmer to control the behavior of individual bits of data. too large for use in many applications. 1967, BCPL (Basic CPL): a scaled down version of CPL. In 1970, B: a scaled down version of BCPL written sp ...
CH1 Slides
... checks the source program for syntax errors. 2. Translate the program into equivalent machine language (object program). ...
... checks the source program for syntax errors. 2. Translate the program into equivalent machine language (object program). ...
by George Kyriazis, AMD
... Shared page table support: To simplify OS and user software, HSA allows a single set of page table entries to be shared between CPUs and GPUs. This allows units of both types to access memory through the same virtual address. The system is further simplified in that the operating system only needs ...
... Shared page table support: To simplify OS and user software, HSA allows a single set of page table entries to be shared between CPUs and GPUs. This allows units of both types to access memory through the same virtual address. The system is further simplified in that the operating system only needs ...
02DistributedSystemBuildingBlocks - Tsinghua
... Once a thread is created, they are peers and independent. pthreadcreate.c ...
... Once a thread is created, they are peers and independent. pthreadcreate.c ...
rMPI An MPI-Compliant Message Passing Library for Tiled
... rMPI messages broken into packets rMPI sender process 1 ...
... rMPI messages broken into packets rMPI sender process 1 ...
Summer Institute for Computing Education
... • You can assign a name to represent a value (we call this a variable) • You can assign a name to represent a function or procedure (method) • You can assign a name to a collection of related variables and functions/procedures (class) Intro CS, Computers, Programming ...
... • You can assign a name to represent a value (we call this a variable) • You can assign a name to represent a function or procedure (method) • You can assign a name to a collection of related variables and functions/procedures (class) Intro CS, Computers, Programming ...
document
... Basic issue: race conditions Sample action procedure sign_up(person) begin number := number + 1; list[number] := person; end; ...
... Basic issue: race conditions Sample action procedure sign_up(person) begin number := number + 1; list[number] := person; end; ...
pptx
... One of the problems need to be solved: ◦ Evaluate the probability of an observation sequence on a given HMM (Evaluation) ◦ The solution of above is the key to choose the best matched models among the HMMs ...
... One of the problems need to be solved: ◦ Evaluate the probability of an observation sequence on a given HMM (Evaluation) ◦ The solution of above is the key to choose the best matched models among the HMMs ...
Our Pattern Language (OPL): Introduction
... affected; actuators actuate the process. This process control may be continuous and unending (e.g. heater and thermostat), or it may have some specific termination point (e.g. production on assembly line). Event-based implicit invocation: Some problems are modeled as a series of processes or tasks w ...
... affected; actuators actuate the process. This process control may be continuous and unending (e.g. heater and thermostat), or it may have some specific termination point (e.g. production on assembly line). Event-based implicit invocation: Some problems are modeled as a series of processes or tasks w ...
Evolving Software Tools for New Distributed Computing Environments
... ploit information concerning overall system behavior as well as application-specic information gained from static and dynamic analysis to achieve an adaptive resource management. Information is systematically interchanged between all components involved in the management task. It is important to n ...
... ploit information concerning overall system behavior as well as application-specic information gained from static and dynamic analysis to achieve an adaptive resource management. Information is systematically interchanged between all components involved in the management task. It is important to n ...
Week 3 - Portal UniMAP
... Karim wants to get some money from his bank account via the ATM. Karim do not know his account balance and needs to check it first before deciding what is the amount that he wants to withdraw. If the balance is over RM500, he will withdraw RM100; otherwise he will withdraw a mere RM50. However if th ...
... Karim wants to get some money from his bank account via the ATM. Karim do not know his account balance and needs to check it first before deciding what is the amount that he wants to withdraw. If the balance is over RM500, he will withdraw RM100; otherwise he will withdraw a mere RM50. However if th ...
Revisiting APL in the Modern Era
... APL deserves another look. Most people think of APL only peripherally as a language with terse syntax and strange symbols in its code. While programmers used to other programming languages may encounter an initial barrier due to these symbols, we believe that APL is worth the learning curve and that ...
... APL deserves another look. Most people think of APL only peripherally as a language with terse syntax and strange symbols in its code. While programmers used to other programming languages may encounter an initial barrier due to these symbols, we believe that APL is worth the learning curve and that ...
Chapter 4: Multithreaded Programming
... Creation and management of threads done by compilers and run-time libraries rather than programmers ...
... Creation and management of threads done by compilers and run-time libraries rather than programmers ...
What is a Computer?
... Output unit (to screen, to printer, to control other devices) Memory unit (Rapid access, low capacity, stores input information) Arithmetic and logic unit (ALU) (Arithmetic calculations and logic decisions) Central processing unit (CPU) (Supervises and coordinates sections of the computer) Secondary ...
... Output unit (to screen, to printer, to control other devices) Memory unit (Rapid access, low capacity, stores input information) Arithmetic and logic unit (ALU) (Arithmetic calculations and logic decisions) Central processing unit (CPU) (Supervises and coordinates sections of the computer) Secondary ...
Introduction to Computers, the Internet and the Web
... In 1977, Apple Computer popularized personal computing. In 1981, IBM, the world’s largest computer vendor, introduced the IBM Personal Computer (PC). This quickly legitimized personal computing in business, industry and government organizations, where IBM mainframes were heavily used. These computer ...
... In 1977, Apple Computer popularized personal computing. In 1981, IBM, the world’s largest computer vendor, introduced the IBM Personal Computer (PC). This quickly legitimized personal computing in business, industry and government organizations, where IBM mainframes were heavily used. These computer ...
arduino powerpoint
... continue to turn on LED on for 1 second and off for 1 second. The sketch (program) includes : setup() function - Initializes variables, pin modes, start using libraries, etc. loop() function - loops code consecutively. // Comments - Detailed descriptions not executed. ...
... continue to turn on LED on for 1 second and off for 1 second. The sketch (program) includes : setup() function - Initializes variables, pin modes, start using libraries, etc. loop() function - loops code consecutively. // Comments - Detailed descriptions not executed. ...
Lecture 1 - Ali Kattan
... busy Web server may have several (perhaps thousands of) clients concurrently accessing it. If the Web server ran as a traditional single-threaded process, it would be able to service only one client at a time, and a client might have to wait a very long time for its request to be serviced. One solut ...
... busy Web server may have several (perhaps thousands of) clients concurrently accessing it. If the Web server ran as a traditional single-threaded process, it would be able to service only one client at a time, and a client might have to wait a very long time for its request to be serviced. One solut ...
Intro-comp
... CPU (Central Processing Unit) The Central Processing Unit (CPU) or processor is the portion of a computer system that carries out the instructions of a computer program and is the primary element carrying out the computer's functions. Example: (3 + 2) = 5 In an addition operation, the arithmetic lo ...
... CPU (Central Processing Unit) The Central Processing Unit (CPU) or processor is the portion of a computer system that carries out the instructions of a computer program and is the primary element carrying out the computer's functions. Example: (3 + 2) = 5 In an addition operation, the arithmetic lo ...
14 Concurency
... • Logical concurrency, Quasi-concurrency – Time-sharing of one processor • Software designed as if there were multiple threads ...
... • Logical concurrency, Quasi-concurrency – Time-sharing of one processor • Software designed as if there were multiple threads ...
Computer architecture anc instruction set design
... aforementioned rigidity of host processors, it is impossible for a user to reduce emulation time by putting often-used functions into the hardware. In the work at Brown it has been found that, because of this fact, the speed of the individual functions in a target machine varies directly with their ...
... aforementioned rigidity of host processors, it is impossible for a user to reduce emulation time by putting often-used functions into the hardware. In the work at Brown it has been found that, because of this fact, the speed of the individual functions in a target machine varies directly with their ...
Parallel computing
Parallel computing is a form/type of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then 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.Parallel computing is closely related to concurrent computing – they are frequently used together, and often conflated, though the two are distinct: it is possible to have parallelism without concurrency (such as bit-level parallelism), and concurrency without parallelism (such as multitasking by time-sharing on a single-core CPU).In parallel computing, a computational task is typically broken down in several, often many, very similar subtasks that can be processed independently and whose results are combined afterwards, upon completion. In contrast, in concurrent computing, the various processes often do not address related tasks; when they do, as is typical in distributed computing, the separate tasks may have a varied nature and often require some inter-process communication during execution.Parallel computers can be roughly classified according to the level at which the hardware supports parallelism, with multi-core and multi-processor computers having multiple processing elements within a single machine, while clusters, MPPs, and grids use multiple computers to work on the same task. Specialized parallel computer architectures are sometimes used alongside traditional processors, for accelerating specific tasks.In some cases parallelism is transparent to the programmer, such as in bit-level or instruction-level parallelism, but explicitly parallel algorithms, particularly those that use concurrency, are more difficult to write than sequential ones, because concurrency introduces several new classes of potential software bugs, of which race conditions are the most common. Communication and synchronization between the different subtasks are typically some of the greatest obstacles to getting good parallel program performance.A theoretical upper bound on the speed-up of a single program as a result of parallelization is given by Amdahl's law.