Intel Tera-Scale is a research program by Intel that focuses on development in Intel processors and platforms that utilize the inherent parallelism of emerging visual-computing applications. Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly. Parallelism is the concept of performing multiple tasks simultaneously. Utilizing parallelism will not only increase the efficiency of computer processing units (CPUs), but also increase the bytes of data analyzed each second. In order to appropriately apply parallelism, the CPU must be able to handle multiple threads and to do so the CPU must consist of multiple cores. The conventional amount of cores in consumer grade computers are 2–8 cores while workstation grade computers can have even great
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| - Terascale-Prozessor (de)
- Intel Terascale (it)
- Intel Tera-Scale (en)
- Intel Tera-Scale (fr)
- 인텔 테라-스케일 (ko)
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| - Der Terascale-Prozessor von Intel war ein Forschungsprojekt, um einen Mikroprozessor mit hunderten Kernen zu entwickeln. Eine derartige Architektur wird – analog zu den Multicore-Architekturen – als „Manycore“ bezeichnet. Der Terascale-Prozessor wurde in Kacheln – den sogenannten Tiles – organisiert, wobei die meisten Kacheln allgemeine Rechenaufgaben wahrnahmen. Der Terascale-Prozessor besaß etwa 100 Millionen Transistoren, wobei jede Kachel etwa 1,2 Millionen Transistoren beherbergte. Er wurde im Jahr 2007 vorgestellt. (de)
- Intel Tera-Scale est un programme de recherche d'Intel visant à augmenter le nombre de cœurs d'exécution présents dans les processeurs de la firme. Le processeur de recherche a été développé dans ce cadre, et présente aujourd'hui 80 cœurs. Afin de tirer parti de cette multiplicité de cœurs, Intel développe en parallèle le modèle de programmation Ct. (fr)
- 인텔 테라-스케일(Intel Tera-Scale)은 이머징 비주얼 컴퓨팅 애플리케이션의 병렬화를 이용, 인텔 프로세서와 플랫폼 개발에 초점을 두는 인텔의 연구 계획이다. 이러한 응용에는 테라바이트의 데이터를 빠르게 처리하기 위해 병렬 컴퓨팅 성능의 테라플롭스가 필요하다. 병렬화는 여러 태스크를 동시에 수행하는 개념이다. 병렬화를 이용하면 중앙 처리 장치(CPU)의 효율성을 높일뿐 아니라 초 단위로 분석된 데이터의 바이트도 증가된다. (ko)
- Intel Tera-Scale is a research program by Intel that focuses on development in Intel processors and platforms that utilize the inherent parallelism of emerging visual-computing applications. Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly. Parallelism is the concept of performing multiple tasks simultaneously. Utilizing parallelism will not only increase the efficiency of computer processing units (CPUs), but also increase the bytes of data analyzed each second. In order to appropriately apply parallelism, the CPU must be able to handle multiple threads and to do so the CPU must consist of multiple cores. The conventional amount of cores in consumer grade computers are 2–8 cores while workstation grade computers can have even great (en)
- Il progetto Terascale è uno studio avanzato sulle tecnologie di calcolo parallelo sviluppato da Intel, a partire dal 2005, che molto probabilmente non raggiungerà mai il mercato nella sua incarnazione attuale, ma dovrebbe servire al produttore ad ottimizzare la scalabilità delle proprie CPU all'aumentare del numero di core. (it)
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| - Der Terascale-Prozessor von Intel war ein Forschungsprojekt, um einen Mikroprozessor mit hunderten Kernen zu entwickeln. Eine derartige Architektur wird – analog zu den Multicore-Architekturen – als „Manycore“ bezeichnet. Der Terascale-Prozessor wurde in Kacheln – den sogenannten Tiles – organisiert, wobei die meisten Kacheln allgemeine Rechenaufgaben wahrnahmen. Der Terascale-Prozessor besaß etwa 100 Millionen Transistoren, wobei jede Kachel etwa 1,2 Millionen Transistoren beherbergte. Er wurde im Jahr 2007 vorgestellt. (de)
- Intel Tera-Scale is a research program by Intel that focuses on development in Intel processors and platforms that utilize the inherent parallelism of emerging visual-computing applications. Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly. Parallelism is the concept of performing multiple tasks simultaneously. Utilizing parallelism will not only increase the efficiency of computer processing units (CPUs), but also increase the bytes of data analyzed each second. In order to appropriately apply parallelism, the CPU must be able to handle multiple threads and to do so the CPU must consist of multiple cores. The conventional amount of cores in consumer grade computers are 2–8 cores while workstation grade computers can have even greater amounts. However, even the current amount of cores aren't great enough to perform at teraFLOPS performance leading to an even greater amount of cores that must be added. As a result of the program, two prototypes have been manufactured that were used to test the feasibility of having many more cores than the conventional amount and proved to be successful. (en)
- Intel Tera-Scale est un programme de recherche d'Intel visant à augmenter le nombre de cœurs d'exécution présents dans les processeurs de la firme. Le processeur de recherche a été développé dans ce cadre, et présente aujourd'hui 80 cœurs. Afin de tirer parti de cette multiplicité de cœurs, Intel développe en parallèle le modèle de programmation Ct. (fr)
- Il progetto Terascale è uno studio avanzato sulle tecnologie di calcolo parallelo sviluppato da Intel, a partire dal 2005, che molto probabilmente non raggiungerà mai il mercato nella sua incarnazione attuale, ma dovrebbe servire al produttore ad ottimizzare la scalabilità delle proprie CPU all'aumentare del numero di core. A partire dal 2005, con il primo Pentium D Smithfield, Intel ha abbracciato completamente la nuova filosofia di sviluppo dei microprocessori che vede un aumento sempre maggiore del numero di core integrati in un'unica CPU. Terascale è solo uno dei progetti multi core in sviluppo presso i laboratori di Intel, e certamente si tratta di uno di quelli più innovativi. (it)
- 인텔 테라-스케일(Intel Tera-Scale)은 이머징 비주얼 컴퓨팅 애플리케이션의 병렬화를 이용, 인텔 프로세서와 플랫폼 개발에 초점을 두는 인텔의 연구 계획이다. 이러한 응용에는 테라바이트의 데이터를 빠르게 처리하기 위해 병렬 컴퓨팅 성능의 테라플롭스가 필요하다. 병렬화는 여러 태스크를 동시에 수행하는 개념이다. 병렬화를 이용하면 중앙 처리 장치(CPU)의 효율성을 높일뿐 아니라 초 단위로 분석된 데이터의 바이트도 증가된다. (ko)
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