[GH-ISSUE #355] Student Feedback - Chapter 10 #5345

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GiteaMirror · 2026-04-21T21:19:56-05:00

GiteaMirror commented

2026-04-21 21:19:56 -05:00

Originally created by @jasonjabbour on GitHub (Aug 15, 2024).
Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/355

Originally assigned to: @jasonjabbour on GitHub.

Chapter 10 - AI Acceleration

In terms of learning objectives for this chapter, we did not feel like we walked away with the fourth bullet point or the sixth bullet point.
This was an interesting chapter, but the tone felt like an academic paper. We feel like there is a more accessible way to phrase a lot of the information, especially for students who have not encountered a lot of the vocabulary before. Perhaps also emphasize why this is important for students to be learning.
There was a lot of text in this chapter, which made it hard for us to fully grasp everything. Maybe find some way to cut down on length--there were a few places in the chapter where bullet points would have sufficed (like in the Disadvantages/Advantages section of 10.3.2 Field-Programmable Gate Arrays (FPGAs), 10.3.3 Digital Signal Processors (DSPs), 10.3.4 GPUs, 10.3.5 CPUs, etc.). Also, including tables in the place of text is often a better way to get the point across, rather than doing both table and text.
10.6 Benchmarking Hardware feels unnecessary, given that the whole next chapter is about benchmarking. Perhaps include one or the other, but both do not seem necessary.
We didn't understand what the table in 10.3.1 Application-Specific Integrated Circuits (ASICs) was trying to get across, especially the "Notes" column. Some more clarification on this would be great! (Also the table does not have a number or way to reference it)
Machine Learning Systems - 10 AI Acceleration.pdf

Originally posted by @sgiannuzzi39 in https://github.com/harvard-edge/cs249r_book/discussions/256#discussioncomment-9907347

Originally created by @jasonjabbour on GitHub (Aug 15, 2024). Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/355 Originally assigned to: @jasonjabbour on GitHub. **Chapter 10 - AI Acceleration** - In terms of learning objectives for this chapter, we did not feel like we walked away with the fourth bullet point or the sixth bullet point. - This was an interesting chapter, but the tone felt like an academic paper. We feel like there is a more accessible way to phrase a lot of the information, especially for students who have not encountered a lot of the vocabulary before. Perhaps also emphasize why this is important for students to be learning. - There was a lot of text in this chapter, which made it hard for us to fully grasp everything. Maybe find some way to cut down on length--there were a few places in the chapter where bullet points would have sufficed (like in the Disadvantages/Advantages section of **10.3.2 Field-Programmable Gate Arrays (FPGAs), 10.3.3 Digital Signal Processors (DSPs), 10.3.4 GPUs, 10.3.5 CPUs,** etc.). Also, including tables in the place of text is often a better way to get the point across, rather than doing both table and text. - **10.6 Benchmarking Hardware** feels unnecessary, given that the whole next chapter is about benchmarking. Perhaps include one or the other, but both do not seem necessary. - We didn't understand what the table in **10.3.1 Application-Specific Integrated Circuits (ASICs)** was trying to get across, especially the "Notes" column. Some more clarification on this would be great! (Also the table does not have a number or way to reference it) [Machine Learning Systems - 10 AI Acceleration.pdf](https://github.com/user-attachments/files/16033863/Machine.Learning.Systems.-.10.AI.Acceleration.pdf) _Originally posted by @sgiannuzzi39 in https://github.com/harvard-edge/cs249r_book/discussions/256#discussioncomment-9907347_

GiteaMirror added the area: book type: improvement labels 2026-04-21 21:19:56 -05:00

GiteaMirror closed this issue

2026-04-21 21:19:57 -05:00

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Reference: github-starred/cs249r_book#5345