Review for “A View of
the Parallel
Computing
Landscape”
Abstract
Over the years, the IT ecosystem has grown accustomed to sequential programming, but increased demands for speed, efficiency, and multi-processing have resulted in the introduction of multicore. This study explains the entire concept of parallelism, its impact on IT-oriented sectors of the economy, where parallelism has been in the past, where we are now, and where we are going in the future. It is critical to recognize that the concept and design of multicore did not emerge from thin air, but rather from the shortcomings of sequential programming. The need for more efficient single cores appeared to be a daunting task, hence the detour into parallelism.
Significance and Innovation
The importance of this study is to go over all of the potential issues that could arise as a result of the lack of parallel computing. It begs the question of how we can improve on parallelism, what impact it has on society and computing, and what the future holds.
The goal is to explicitly describe an integrated approach to tackling the parallel challenge that we are developing at the Parallel Computing Laboratory, or Par Lab.
Strengths and Weaknesses
This study’s strengths were focused on the par lab’s innovations, with reasons to back up their optimism for parallelisms such as many core synergies with cloud computing, the vitality of open source software, and FPGA prototypes that shorten the hardware/software cycle. Though the ideas and suggestions shared during the study are a form of coordinated solutions to the problem of parallelism, there is no set timeline or guarantee that all approaches will be successful.
Conclusions and Impacts
This study provided a broad overview of the parallel landscape, implying that the goal of computer science should be to make parallel computing more productive, efficient, correct, portable, and scalable. If we approach parallelism correctly and contribute to this quest, we have a great opportunity to help IT remain a growth industry, sustain the parts of the global economy that rely on continuous improvement in IT cost-performance, and take a once-in-a-lifetime chance to reinvent the entire software/hardware stack.
