Applications of Parallel Computing in DS 642 Lecture 2 Quiz

<p>Structured Grids</p> Signup and view all the answers

<p>Particle Methods</p> Signup and view all the answers

<p>HPC</p> Signup and view all the answers

<p>It does not address the issue of increased power density.</p> Signup and view all the answers

<p>By reducing the complexity of fabrication.</p> Signup and view all the answers

<p>Processor power will no longer increase with each generation.</p> Signup and view all the answers

<p>Dennard Scaling has failed, leading to doubts about the future of processor advancement.</p> Signup and view all the answers

<p>It does not necessarily lead to faster serial processors.</p> Signup and view all the answers

<p>The transistor density of semiconductor chips</p> Signup and view all the answers

<p>The clock rate goes up by less than a factor of x</p> Signup and view all the answers

<p>The computing power increases by a factor of x^4</p> Signup and view all the answers

<p>Transistor density has doubled every 18 months</p> Signup and view all the answers

<p>Die size has increased concurrently with feature size shrinkage</p> Signup and view all the answers

<p>Because power consumption does not scale linearly with feature shrinkage</p> Signup and view all the answers

<p>The time taken to wash, dry, and fold laundry</p> Signup and view all the answers

<p>Decreases the total processing time by 42.5%</p> Signup and view all the answers

<p>Improving single-threaded performance</p> Signup and view all the answers

<p>Number of loads of laundry</p> Signup and view all the answers

<p>Parallelism</p> Signup and view all the answers

<p>To handle multiple data elements simultaneously</p> Signup and view all the answers

<p>The number of loads per hour without pipelining</p> Signup and view all the answers

<p>Pipelined execution takes less time</p> Signup and view all the answers

<p>ILP focuses on optimizing within a single instruction, while SIMD processes multiple instructions concurrently</p> Signup and view all the answers

<p>To reduce latency by storing frequently accessed data closer to the processor</p> Signup and view all the answers

<p>Increases bandwidth proportionally</p> Signup and view all the answers

<p>By reducing the number of instructions needed to perform matrix operations</p> Signup and view all the answers

<p>Pipelined execution takes less time than sequential execution</p> Signup and view all the answers

<p>Bandwidth increases with pipelining</p> Signup and view all the answers

<p>ILP enhances processor performance by executing multiple instructions simultaneously</p> Signup and view all the answers

<p>Executing multiple operations in parallel on different data elements</p> Signup and view all the answers

<p>It results in diminishing returns in performance improvement</p> Signup and view all the answers

<p>FMA decreases the number of instructions needed for matrix multiplication</p> Signup and view all the answers

<p>Latency in laundry example = Time required for wash + dry + fold Sequential execution time = 4 * 90 minutes Pipelined execution time = 30 + 4*40 + 20 minutes Bandwidth without pipelining = 4/3.5 loads/hour</p> Signup and view all the answers

<p>Instruction Level Parallelism (ILP) = Enhancing performance within single processors SIMD units = Focus on parallelism in processing multiple data elements Special Instructions like FMA = Contributing to Matrix Multiplication optimization Clock rate scaling = Not a viable solution to increase processor power</p> Signup and view all the answers

<p>Sequential execution time = 6 hours Pipelined execution time = 3.5 hours Bandwidth calculation w/o pipelining = 4/6 loads/hour Impact of increasing loads on Bandwidth = Decrease from 4/6 to 4/3.5 loads/hour</p> Signup and view all the answers

<p>Spectral operations like FFT = Commonly associated with FFT computations Structured data grids processing = Method for processing structured data grids in parallel computing Dense Linear Algebra = 'Dwarfs' of scientific computing involving large-scale simulations Sparse Linear Algebra = Falling under the category of Dense Linear Algebra as per text</p> Signup and view all the answers

<p>Memory Hierarchies = Role in parallel computing design Flynn's Taxonomy = Categorizing processor design aspects SIMD units focus = Primary focus on parallelism in data processing Parallelism impact on chip yield = Improving chip yield according to text</p> Signup and view all the answers

<p>Dennard Scaling and Moore’s Law impact = On processor development summarized in text Feature size shrinkage impact on clock rate = Decrease in clock rate due to feature size shrinkage Moore's Law impact on microprocessor size over time = Increasing the number of transistors over time Raw computing power impact of feature size shrinkage by x factor = Historical impact on chip's raw computing power</p> Signup and view all the answers

<p>ILP is the ability to execute multiple instructions in parallel within a single processor, improving performance by overlapping various tasks and reducing idle time.</p> Signup and view all the answers

<p>SIMD units focus on processing multiple data elements using a single instruction to achieve parallelism. An example is performing pixel operations in image processing.</p> Signup and view all the answers

<p>Special Instructions like FMA help improve the performance of matrix multiplication by combining the multiply and add operations into a single step, reducing the number of cycles needed.</p> Signup and view all the answers

<p>Memory hierarchies optimize data access by providing different levels of memory with varying speeds and sizes, allowing for faster data retrieval and improving overall system performance.</p> Signup and view all the answers

<p>Moore's Law states that the number of transistors on a chip doubles approximately every 18-24 months, leading to smaller, more powerful microprocessors with increased computational capabilities.</p> Signup and view all the answers

<p>Increasing the number of loads in the Laundry example reduces the Bandwidth, leading to lower processing efficiency due to the sequential nature of the tasks with limited parallelism.</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers