Distributed computing refers to the notion of divide and conquer, executing sub-tasks on different machines and then merging the results. However, since we stepped into the Big Data era, it seems …

From this perspective: Research on parallel algorithms is primarily about understanding how to harness the computational power of a massively parallel computer. For practical applications, consider high …

I wonder if high-performance computing and parallel computing always mean the same? If not, what are the differences and relations between them? what are some examples of high-performance comput...

May 28, 2021 · The antonym of parallelism is distributed computing; in distributed computing, we still describe processes executed entirely on computer processors, but in contrast to parallel computing, …

May 7, 2016 · 0 I already understand that Distributed Computing is the breakup of having multiple clients rely on a single source, and having each client utilize other clients for information. But my confusion …

All the problems brought by concurrency: at least from the point of view of memory, parallel programs look like concurrent ones due to serialisation of memory accesses. Deal with sub-optimal hardware …

12 Quantum computing essentially relies on the fact that qubits maintain multiple possible states simultaneously. Parallel computing too processes multiple states simultaneously. So what is the …

May 21, 2020 · The terms contention and race are used interchangeably when it comes to thread's state(at critical section). Are they same?

Apr 20, 2023 · In the end, I'm looking for a rigorous answer to the question: If quantum mechanics were described by some differential equation (a field theory, essentially the massively parallel mini …

But I wonder what distributed computing can do besides parallel computing? If I understand correctly, parallel computing is to solve a common task by multiple processors (computers). Are the Internet …