Our objective is to provide a versatile design framework that can facilitate vector coprocessor sharing among multiple cores in a manner that maximizes resource utilization while also yielding very high performance at reduced area and energy costs.
As multiple core peptides share a single leader, the signatures flanking the core peptide can be mutated extensively and insertion of residues between the core and leader can be tolerated; we conclude that the spatial relationship between the minimal leader and target residue is highly flexible.
Also this allows simple extrapolation of the single core results to multiple core results.
Multiple core processors often need to be restricted to a single core to run stably.
We investigate the design of parallel B&B in large scale heterogeneous compute environments where processing units can be composed of a mixture of multiple shared memory cores, multiple distributed CPUs and multiple GPUs devices.
With multi-core architectures becoming a trend in real-time systems, the WCET analysis is of great challenge, since multiple cores accessing shared hardware resources, such as cache and bus, may result in significant interference on them.
It considers factors such as whether the memory should be shared or distributed among the multiple cores; will the cores benefit from memory cache and what should the cache configuration be; is there a cache coherency protocol used; should there be other memory types on the device such as scratch pad SRAMs and eDRAMs; does the device use a DMA for memory transfers, and other factors.
Processes running on multiple cores can connect to the same shared memory server, which distributes different events to the different processes on the node and serializes client requests with datagram handling.
And everyone is looking at ways to improve throughput within a chip because multiple cores also mean that everything has to share at least some of the same resources on the chip.
A major problem faced by such multi-core architectures is cache contention, where multiple cores compete for usage of the single shared L2 cache.
