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When Sun announced SPARC in 1987, the company stated that it would be available from multiple sources. Fujitsu was the first SPARC vendor, and Cypress Semiconductor was the second licensee; as of February 1989 [update] their SPARC CPUs were available, as was Texas Instruments's FPU. [ 20 ]
Full sun – more than five hours of direct sun per day. Part shade – two to five hours of direct sun, or all-day dappled sun (sunlight shining through open trees). Full shade – less than two hours of direct sun per day. Under a dense forest canopy, light intensity can be very low. Special adaptations produce the shade tolerance that allows ...
The series was very popular and introduced the Sun-4c architecture, a variant of the Sun-4 architecture previously introduced in the Sun 4/260. Thanks in part to the delay in the development of more modern processors from Motorola , the SPARCstation series was very successful across the entire industry.
Checkpointing is a technique that provides fault tolerance for computing systems. It involves saving a snapshot of an application's state, so that it can restart from that point in case of failure. This is particularly important for long-running applications that are executed in failure-prone computing systems.
The SPARCstation IPX includes an integrated Sun Turbo GX cgsix color framebuffer [3] on the internal SBus. This frees one SBus slot from framebuffer duty, which makes the SPARCstation IPX as expandable as the larger form factor SPARCstation 2 , with which it otherwise shares many architectural similarities.
There is a difference between fault tolerance and systems that rarely have problems. For instance, the Western Electric crossbar systems had failure rates of two hours per forty years, and therefore were highly fault resistant. But when a fault did occur they still stopped operating completely, and therefore were not fault tolerant.
The sun will be near its more dramatic solar maximum . During the 2024 eclipse, the sun will be near “solar maximum.” ... Streamers “are a beautiful, beautiful shade of pink, and silhouetted ...
Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. [2] The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API.