Answer:
More space
Pen drives generally have more storage capacity than CDs with CDs usually having just around 700 Megabytes for storage. Pen drives on the other hand can reach up to 2 Terabytes of data storage capacity. If the file she needs to save is high, Elsa should use the pen drive.
Scratch resistant
CDs can be scratched on the way to the house and lose some data or make it harder to extract. Pen drives do not have such problems are they are encased in an outer casing.
Portable and Accessible.
Pen drives are easy to carry which makes them portable and they are easier to use because a lot of computers do not have a CD drive but every computer has a port for a pen drive therefore making data in pen drives more accessible.
<h2>All the given answers are right</h2>
Explanation:
- Lighting is one of the key factor which is essential to do cinematography
- It will help to cut off the shadows that is created using natural light
- It can depict the mood of the scene that is shoot
- We can adjust manually brightness and darkness according to the need, which is not possible in the natural light.
- It can boost the quality of the footage
- We can shoot anytime irrespective of the weather condition
- The light from the camera alone is not enough to shoot the best picture
The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>
<u></u>
<h3>What is Parallel Computing?</h3>
Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.
<h3>Types of parallel computing</h3>
There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:
- Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
- Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
- Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
- Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.
Learn more about parallel computing
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