add Nsight resources and lecture

content/post/20200416-nsight/index.md

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+title = "Nsight Systems and Nsight Compute Teaching Resources"
+subtitle = ""
+date = 2020-04-16T00:00:00
+lastmod = 2020-04-16T00:00:00
+draft = false
+
+# Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.
+authors = ["Carl Pearson"]
+
+tags = ["GPU", "Nsight Compute", "Nsight Systems"]
+
+summary = ""
+
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+projects = ["nsight"]
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+
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+
+I was invited to give a guest lecture for the Spring 2020 ECE 408 GPU programming course at the University of Illinois.
+This lecture covers some performance measurement techniques available in CUDA.
+The 75 minute lecture, available on Youtube in four parts:
+* [Slides (pdf)](/pdf/20200416_nsight.pdf)
+* [Part 1: Intro](https://youtu.be/uN2qju175aE)
+* [Part 2: CUDA Events](https://youtu.be/yI137sSOlkU)
+* [Part 3: Nsight Compute](https://youtu.be/UNX0KNMQlW8)
+* [Part 4: Nsight Systems](https://youtu.be/YHrmnaPgFfY)
+
+There is also a repository [cwpearson/nvidia-performance-tools](https://github.com/cwpearson/nvidia-performance-tools) which contains all the code examples used in the lecture.
+It also contains Docker images for amd64 and ppc64le with Nsight Compute and Nsight Systems.
+