0
What else can I help you with?
What has the author Steven J E Wilton written?
Steven J. E. Wilton has written: 'Block transfers in a shared memory multiprocessor' 'Architectures and algorithms for field-programmable gate arrays with embedded memory'
Difference between multicomputer and multiprocessor?
Multiprocessors have a single physical address space (memory) shared by all the CPUs whereas multicomputers have one physical address space per CPU Multiprocessors have a single physical address space (memory) shared by all the CPUs whereas multicomputers have one physical address space per CPU
Difference between distributed system and multiprocessor system?
The difference between distributed system and multiprocessor system is whether the processing units in the system share the main memory. If yes, then the system is multiprocessor system; otherwise, it's a distributed system.
What difference between cluster system and multiprocessor system?
A cluster system consists of multiple independent computers connected together, each with its own operating system and resources, while a multiprocessor system has multiple processors sharing the same memory and operating system. In a cluster system, each node operates independently and communicates through a network, whereas in a multiprocessor system, all processors share the same memory space and can access shared resources more efficiently. Clusters are typically used for high availability and scalability, while multiprocessor systems are designed for high performance and parallel processing tasks.
Does the busy waiting solution using the turn variable Fig 2-23 work when the two processes are running on a shared-memory multiprocessor that is two CPUs sharing a common memory?
Yes, the busy waiting solution using the turn variable can work on a shared-memory multiprocessor with two CPUs, as long as the CPUs can read and write to the shared turn variable correctly. However, this solution may lead to inefficiencies due to busy waiting, where one CPU continuously checks the turn variable while the other CPU is executing its critical section. This can waste CPU cycles and lead to performance degradation. Additionally, proper memory synchronization mechanisms are essential to prevent issues like cache coherence and ensure that changes to the turn variable are visible to both CPUs.
Compare distributed shared memory and centralized shared memory?
yes
A bus based multiprocessor uses Snoopy cache to achieve coherent memory. will semaphore works on this process?
yes
What does Asura software do?
Hi all, The ASURA software is a Distributed shared memory multiprocessor. It is a large scale, cluster-based, distributed, shared memory, multiprocesor being developed at Kyoto university and Kuboto corporation. Up to 128 clusters are interconnected to form an ASURA system of up to 1024 processors. The basic concept of the ASURA design is to take advantage of the hierarchical structure of the system. Implementing this concept, a large shared cache is placed between each cluster and the inter-cluster network. The shared cache and the shared memories distributed among the clusters form part of ASURA's hierarchical memory architecture, providing various unique features to ASURA
What are the devices which contain multiprocessor and multicomputers?
multiprocessor and multicomputer
What is multiprocessor synchronization?
Multiprocessor synchronization refers to the coordination of processes or threads running on multiple processors to ensure they operate correctly and efficiently without conflicts. It addresses issues like race conditions, where multiple processes access shared resources concurrently, potentially leading to inconsistent data. Techniques for achieving synchronization include locks, semaphores, and barriers, which help manage access to shared resources and maintain data integrity. Effective synchronization is crucial for optimizing performance and ensuring the reliability of multiprocessor systems.
Why use multiprocessor in supercomputers?
More processing means faster, better computing.
Which data type perimits sharing memory among different types of data?
Types cannot share memory; only instances of a type (objects or variables) can share memory. This is achieved through the use of shared resource handles or "smart pointers". We can also use C-style pointer variables to share memory, however they are problematic because as soon as the shared memory is released, all pointers to it become invalid but there's no way to tell if a pointer is valid or not. Even without using shared memory, there is no notion of "ownership" as far as pointers are concerned. In the absence of resource handles, the best strategy is to allocate memory in an outer scope and then create shared pointers within an inner scope. The shared pointers MUST NOT release the memory they refer to. When we return to the outer scope, the shared references will have fallen from scope, thus we can safely release the memory using the same pointer variable we used to allocate the memory. In this way we get some notion of ownership. With resource handles we don't have this problem because the shared memory cannot be released accidently until the very last reference falls from scope. The last reference need not be the one we originally used to allocate the memory. Sharing memory between threads is best kept to an absolute minimum. Although we can use locks to prevent data races, we achieve better performance with lock-free code and there's less risk of deadlock (where two threads are waiting on each other to release the memory they've locked). Shared memory is often unavoidable, but don't use it just because you can, only use it when it is appropriate to do so; there are always alternatives.
