Difference between memory device & storage device

By DaPrimitive Soource -
    What are the difference between memory device & storage device?

    The difference between memory device & storage device are given below:

MemoryStorage
1. It can store data temporary.1. It can store data permanently.
2. It is volatile; that means whenever power goes off, memory device forgets everything.2. It is non-volatile that means it can store data even when there is no power.
3. It has very small storage capacity.3. Its storage capacity is very large.
4. Memory device is relatively expensive.4. Storage device is relatively cheap.
5. It has direct connection with microprocessor.5. It has no direct connection with microprocessor.
6. It is very fast.6. It is relatively slow.
7. example: RAM7. example: Hard disk

Comments

Post a Comment

Popular posts from this blog

C++ :: Topological Sort Algorithm (using DFS)

By DaPrimitive Soource -
Image
A topological sort of a dag G = (V,E) is a linear ordering of all its vertices such that if G contains an edge (u,v), then u appears before v in the ordering. (If the graph contains a cycle, then no linear ordering is possible.) PSEUDOCODE TOPOLOGICAL-SORT(G) call DFS(G) to compute finishing times v.f for each vertex v as each vertex is finished, insert it onto the front of a linked list return the linked list of vertices
Read more

C++ :: Depth-First Search Algorithm (DFS)

By DaPrimitive Soource -
Image
.:: PSEUDOCODE ::. DFS(G) for each vertex u ∈ G.V u.color = WHITE u.π = NIL time = 0 for each vertex u ∈ G.V if u.color == WHITE DFS-VISIT(G,u) DFS-VISIT(G,u) time = time + 1 u.d = time u.color = GRAY for each v ∈ G.Adj[u] if v.color == WHITE v.π = u DFS-VISIT(G,v) u.color = BLACK time = time + 1 u.f = time
Read more

C++ :: Strongly Connected Components Algorithm (SCC)

By DaPrimitive Soource -
Image
Many algorithms that work with directed graphs begin with such a decomposition. After decomposing the graph into strongly connected components, such algorithms run separately on each one and then combine the solutions according to the structure of connections among components. ALGORITHM STRONGLY-CONNECTED-COMPONENTS(G) call DFS(G) to compute finishing times u.f for each vertex u compute GT call DFS(GT), but in the main loop of DFS, consider the verteces in order of decreasing u.f (as computed in line 2) output the vertices of each tree in the depth-first forest formed in line 4 as a separate strongly connected component
Read more