In contrast, the code in Figure 4 makes use of data parallelism and thus can execute significantly faster on a dual-core processor than the code shown in Figure 3. Figure 4. This LabVIEW code ...

Multi-core processors may be the new rock n roll for the likes of Intel, AMD and Texas Instruments, but what they are saying about the potential of parallel processing architectures is not really new.

Multi-core processors theoretically can run many threads of code ... for better performance on a given hardware platform,” said Khan. “Distributed-data-parallel and fully-sharded-data-parallel ...

The core usually consists of arithmetic, logic, control-unit as well as caches and data ... CPU design in the Intel i386 (80386) which allowed it to run multiple instructions in parallel and ...

In reviewing CPU and server benchmarks ... a wider pipeline can improve its performance. Multi-core benchmarking often entails running multiple apps in parallel rather than bringing multiple ...

AmpereOne features a new Ampere-designed core and new architectural features plus 136 to 192 processor ... that require multiple single threaded instantiations or parallel processing, such as ...

detailed multi-core processors market segments, market trends and opportunities, and any further data you may need to thrive in the multi-core processors industry. This multi-core processors ...

For more on this topic see Using pipelining in multicore LabView and Using data parallelism in multicore LabView. Until recently, advances in computing hardware have provided significant increases in ...