TPUarkkitehtuureiden
TPUarkkitehtuureiden refers to the architectural features of Tensor Processing Units (TPUs), which are specialized integrated circuits designed by Google specifically for machine learning (ML) and artificial intelligence (AI) workloads. The most notable architectural innovation of TPUs is their ability to efficiently execute matrix operations, which are a crucial component of many AI and ML algorithms.
TPUs are designed to take advantage of the hundreds or thousands of parallel processing units that can
Some of the key architectural features of TPUarkkitehtuureiden include a massive, 2D array of processing units,
TPUs also include a custom compute core called the Matrix-Vector Multiply- Accumulate (MVMACC) unit, optimized specifically
Google has developed multiple generations of TPU architecture, with successors like TPU v2 and TPU v3 providing