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Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
TPU or tpu may refer to: Science and technology. Tensor Processing Unit, a custom ASIC built by Google, tailored for their TensorFlow platform;
A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit), and oriented toward using or running models rather than training them. Google announced they had been running TPUs inside their data centers for more than a year, and had found them to deliver an order of magnitude better ...
CAD—Computer-aided design; CAE—Computer-aided engineering; CAID—Computer-aided industrial design; CAI—Computer-aided instruction; CAM—Computer-aided manufacturing; CAP—Consistency availability partition tolerance (theorem) CAPTCHA—Completely automated public Turing test to tell computers and humans apart; CAT—Computer-aided ...
The first documented computer architecture was in the correspondence between Charles Babbage and Ada Lovelace, describing the analytical engine.While building the computer Z1 in 1936, Konrad Zuse described in two patent applications for his future projects that machine instructions could be stored in the same storage used for data, i.e., the stored-program concept.
A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs , that are designed to operate on any computer program .
A set of architectural design decisions: software architecture should not be considered merely a set of models or structures, but should include the decisions that lead to these particular structures, and the rationale behind them. [10] This insight has led to substantial research into software architecture knowledge management. [11]
Software architecture patterns operate at a higher level of abstraction than software design patterns, solving broader system-level challenges. While these patterns typically affect system-level concerns, the distinction between architectural patterns and architectural styles can sometimes be blurry. Examples include Circuit Breaker. [1] [2] [3]