Interesting question. Most agree that shared memory should be minimized and that you should use IPC rather than shared memory if at all possible. Object Oriented programming suggests that an "Object" have it's own methods and that should be the only way that the data object should be modified. Shared memory tends to bypass that construct. In the current programming environment, shared memory is no longer recommended.
yes
disadvantages of memory segmentation
MIMD(Multiple Instruction streams, Multiple Data streams) multiprocessors fall into two classes Centralized Shared memory and distributed shared memory Centralized Shared Memory Architecture has at most a few dozen microprocessors chips, that shares a single centralized memory. They have large caches, single memory, with multiple banks. The single memory has a symmetric relation to all the processors and uniform access time from any processor.
Yes, dedicated memory is always better then shared (or integrated) edit answer after editing the question: but what is the shared memory option is much bigger than the dedicated option? (See edited question)
dedicated memory is memory which is only connected to the GPU. changing shared memory to dedicated memory would involve rewiring the laptop, which would be far more expensive and far more effort than buying dozens of laptops with dedicated memory.
Advantages of shared memory are: 1) Less disk spaceis used because the shared momory code is not included in the executable program. 2) Less momory is used b'coz the shared memory code is only loadedonce.
DSM stands for "distributed shared memory". Distributed shared memory is a computer architecture where the memories can be addressed as one address.
The Giver has not shared the memory of war with Jonas. He keeps this memory hidden because it contains intense pain, suffering, and violence that he believes would be too much for Jonas to handle.
Some disadvantages of using threads in a multiprocessing system include potential for increased complexity in managing synchronization and locks, possibility of thread contention and deadlocks, and difficulty in debugging and tracking down issues due to shared memory space. Additionally, threads may not always scale well on multi-core systems due to contention for shared resources.
keyboard
In computer hardware, shared memory refers to a (typically) large block of random access memory that can be accessed by several different central processing units (CPUs) in a multiple-processor computer system. The issue with shared memory systems is that the many CPUs need fast access to memory and will likely cache memory. Whenever one cache is updated with information that may be used by other processors, the change needs to be reflected to the other processors, otherwise the different processors will be working with incoherent data (see cache coherence and memory coherence). Such coherence protocols can when they work well provide extremely high performance access to shared information between multiple processors. On the other hand they can sometimes become overloaded and become a bottleneck to performance. The alternatives to shared memory are distributed memory and distributed shared memory, with another, similar set of issues. See also Non-Uniform Memory Access. In software the term shared memory refers to memory that is accessible by more than one process, where a process is a running instance of a program. In this context, shared memory is used to facilitate inter-process communication.
Shared memory and thread are not compareable since both of them relies to different technologies. A Shared memory is one of the methods to implement interprocess communication or IPC, by which different processes or tasks can access the same memory area, to share data between them. A thread or thread of execution is a mechanism by which a process can be split in to multiple simultaneously running pieces of code.