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Survey Results

What topics would you like to learn more about?

Survey period: 3 Oct 2022 to 10 Oct 2022

Contributed by Marc Clifton.

OptionVotes% 
Web3 (concepts in general)15630.71
Cryptocurrencies and Blockchain6713.19
AI / Machine Learning / Data Science23245.67
AWS / Azure / Google Cloud services and APIs19638.58
Raspberry Pi / Arduino / Jetson and other tinker boards19237.80
Security (any or all)22043.31
Design (UI, UX, Accessibility)20339.96
Legal issues to be aware of around Software Development12424.41
Other (please comment)5911.61
Respondents were allowed to choose more than one answer; totals may not add up to 100%



 
GeneralRe: Other: general programming/scripting, tools programming, data structures... Pin
lbkbds15-Oct-22 5:50
professionallbkbds15-Oct-22 5:50 
GeneralOther: Data Vault Pin
PIEBALDconsult3-Oct-22 3:37
mvePIEBALDconsult3-Oct-22 3:37 
GeneralOther: learn how to think and program like Marc Clifton Pin
BillWoodruff3-Oct-22 2:53
professionalBillWoodruff3-Oct-22 2:53 
GeneralRe: Other: learn how to think and program like Marc Clifton Pin
Marc Clifton3-Oct-22 14:23
mvaMarc Clifton3-Oct-22 14:23 
GeneralRe: Other: learn how to think and program like Marc Clifton Pin
Gary Wheeler4-Oct-22 2:50
Gary Wheeler4-Oct-22 2:50 
GeneralRe: Other: learn how to think and program like Marc Clifton Pin
Bassam Abdul-Baki4-Oct-22 11:18
professionalBassam Abdul-Baki4-Oct-22 11:18 
GeneralRe: Other: learn how to think and program like Marc Clifton Pin
Gary Wheeler4-Oct-22 11:23
Gary Wheeler4-Oct-22 11:23 
GeneralHighly parallel computing, GPU programming, CUDA, ... PinPopular
trønderen3-Oct-22 2:14
trønderen3-Oct-22 2:14 
(Five others before me has checked "Other (please comment)" but none of them has added any comment. Confused | :confused: Confused | :confused:

I'd really like to learn GPU programming down at the binary level. That naturally includes understanding the GPU architecture, as far as it affects how you program it. The CUDA API (or something similar) is probably what you would use, but my impression is that it at least to some degree abstracts the GPU, hiding architectural details. I would like to learn the assembly code level of GPU programming for various GPU types, even if I will do programming in CUDA. (Just like I think it is advantageous to know various instruction set architectures when programming in C or C#.)

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