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ecu.test automates the control of the whole test environment and supports a broad range of test tools. Various abstraction layers for measured quantities allow its application on different testing levels, e.g. within the context of model in the loop, software in the loop and hardware in the loop as well as in real systems (vehicle and driver in the loop).
The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems.. The vision of FMI is to support this approach: if the real product is to be assembled from a wide range of parts interacting in complex ways, each controlled by a complex set of physical laws, then it should be possible to create a virtual ...
Live looping is the recording and playback of a piece of music in real-time [1] using either dedicated hardware devices, called loopers or phrase samplers, or software running on a computer with an audio interface. Musicians can loop with either looping software or loop pedals, which are sold for tabletop and floor-based use.
Full application virtualization requires a virtualization layer. [2] Application virtualization layers replace part of the runtime environment normally provided by the operating system. The layer intercepts all disk operations of virtualized applications and transparently redirects them to a virtualized location, often a single file. [3]
In computer science, software pipelining is a technique used to optimize loops, in a manner that parallels hardware pipelining.Software pipelining is a type of out-of-order execution, except that the reordering is done by a compiler (or in the case of hand written assembly code, by the programmer) instead of the processor.
MLIR (Multi-Level Intermediate Representation) is a unifying software framework for compiler development. [1] MLIR can make optimal use of a variety of computing platforms such as central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), Tensor Processing Units (TPUs), field-programmable gate arrays (FPGAs), artificial intelligence (AI) application ...
Automatic vectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation, which processes a single pair of operands at a time, to a vector implementation, which processes one operation on multiple pairs of operands at once.
The loop invariant does not affect the meaning of the program and, in some sense, might be considered as unnecessary. However, the loop invariant is required to help the automated verifier using in the Whiley Compiler to prove this function meets its specification. The above example also defines the type nat with an appropriate type invariant.