Terms containing manycore processor

Subject	English	Russian
IT	manycore processor	специализированный многоядерный процессор (a specialist multi-core processor designed for a high degree of parallel processing, containing a large number of simpler, independent processor cores (e.g. 10s, 100s, or 1,000s). Manycore processors are used extensively in embedded computers and high-performance computing. Manycore processor They are distinct from multi-core processors in that: they are optimised from the outset for a higher degree of explicit parallelism, and for higher throughput (or lower power consumption) at the expense of latency and lower single thread performance. Alex_Odeychuk)
IT	manycore processor	многоядерный процессор с ядрами общего и специального назначения (обладает одним или, как правило, несколькими ядрами общего назначения (CPU), а также множеством вспомогательных ядер специального назначения (GPU и пр.), что позволяет более эффективно обрабатывать большие объёмы данных в многопотоковом режиме; вспомогательных ядер в таком многоядерном процессоре может насчитываться от нескольких десятков до нескольких тысяч Alex_Odeychuk)
IT	manycore RISC processor	специализированный многоядерный процессор с сокращённым набором команд (e.g., a SW26010 processor is a 260-core manycore processor Alex_Odeychuk)
IT	manycore vector processor	специализированный многоядерный векторный процессор (Manycore processors are specialist multi-core processors designed for a high degree of parallel processing, containing a large number of simpler, independent processor cores (e.g. 10s, 100s, or 1,000s). Manycore processors are used extensively in embedded computers and high-performance computing. Manycore processors are distinct from multi-core processors in that: they are optimised from the outset for a higher degree of explicit parallelism, and for higher throughput (or lower power consumption) at the expense of latency and lower single thread performance. The broader category of multi-core processors, by contrast are usually designed to efficiently run both parallel and serial code, and therefore place more emphasis on high single thread performance (e.g. devoting more silicon to out of order execution, deeper pipelines, more superscalar execution units, and larger, more general caches), and shared memory. These techniques devote runtime resources toward figuring out implicit parallelism in a single thread. They are used in systems where they have evolved continuously (with backward compatibility) from single core processors. They usually have a "few" cores (e.g. 2,4,8), and may be complemented by a manycore accelerator (such as a GPU) in a heterogeneous system. Alex_Odeychuk)