You are running a program to calculate an approximation of a…

You are running a program to calculate an approximation of an integral using multiple threads. The program uses a mutex (i.e. #pragma omp critical) to protect access to a shared variable (sum) where each thread accumulates partial results. You observe the following behavior when increasing the number of threads: Performance improves significantly as the number of threads increases, up to the number of available CPU cores. However, beyond the number of available CPU cores, performance remains roughly constant, even as more threads are added. Explain why the performance of the program plateaus when the number of threads exceeds the number of CPU cores. Describe how the use of mutexes impacts thread performance in this scenario. Suggest one optimization that could reduce the performance impact of using a mutex in this program.

To help people who lack information about climate change und…

To help people who lack information about climate change understand how climate change is linked to more extreme storms: A) Hassol recommends using metaphors like “loading the dice” to help people understand better B) Hassol recommends against using metaphors like “loading the dice” because they are confusing  

Suppose you want to create a compact proof that a particular…

Suppose you want to create a compact proof that a particular address controls at least a certain number of coins (allowing those who verify the proof to enjoy a similar level security to what they would get by running a full node). As a function of chain length and number of addresses, can such a proof be more compact on Bitcoin or on Ethereum? Choose the best answer. A .The proof can be smaller for Bitcoin. B. The proof can be smaller for Ethereum. C .They should be the same down to constant factors such as the size of particular data structures. Justify your answer