How do recent works against Spectre and other architectural attacks stack up in performance and usability?

More Masab Ahmad's questions See All

What percentage of program completion time is spent in synchronization on GPUs?

Assume a memory access bound workload such as graph analytics, machine learning, monte-carlo simulations etc. Assume a high-end single chip GPU of the current generation (2020).

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Has machine learning improved current weather modeling predictions?

Weather modeling is a prediction problem, and most models are not entirely accurate. Has machine learning improved current weather models? What has improved and how does it improve predictions?

03 April 2019 969 2 View

What type(s) of machine learning or AI algorithms are considered most dangerous for automation of jobs?

Automation of various jobs is underway. What types of machine learning algorithms are used to replace human work?

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What are the implications of computing on today's environment?

Computing takes significant power, resources, and man-power. What are the environmental implications of computing in this context?

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How does Bayesian inference compare against other machine learning models?

Bayesian inference is a machine learning model not as widely used as deep learning or regression models. Why is it not as widely used and how does it compare to highly used models?

03 April 2019 1,094 9 View

Which is the best parallel implementation for Dijkstra's algorithm in graph analytics?

Dijkstra's algorithms performs well sequentially. However, applications require even better parallel performance because of real-time constraints. Implementations such as SprayList and Relaxed...

02 March 2019 4,957 5 View

What is the purpose of performance predictors? Which predictors are the best available?

Performance prediction is required to optimally deploy workloads and inputs to a particular machine/accelerator in computing systems. Different predictors (e.g. AI predictors) come with different...

02 March 2019 10,049 3 View

What are your views on the latest advancements in quantum computing for machine learning algorithms?

This question stems from the latest papers in quantum machine learning. https://www.technologyreview.com/s/613119/quantum-computing-should-supercharge-this-machine-learning-technique/

02 March 2019 5,916 3 View

Are quantum computers going to be used as general purpose machines? or as accelerators connected to the CPUs of today?

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02 March 2019 8,469 3 View

Why are Nvidia's GPUs more popular than AMD's?

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What is climate resilience for food security and sustainable agriculture and how is smart irrigation in agriculture climate resilient?

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Who wants opportunities for scientific cooperation?

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How to start writing an anti-virus software ?

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Does Nature Scientific Reports waive open access fee for industry authors?

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How is Cybercrime a threat to national security?

The negative impact of Cybercrime in Nigeria

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My Research Survey Question ?

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Ragad moufaq Tawafak

Interesting.

Manula Udugahapattuwa

Spectre is very closely related with Meltdown. Thus the possible impact and the remediation for both are extremely similar.

Please find my presentation on Meltdown at Presentation Meltdown - A hardware vulnerability affecting Intel x86 micr...

which talks about mitigation of meltdown and how the mitigation methods affect the performance and efficiency of the target system.