diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -80,5 +80,11 @@ Tesla P100 - DGEMM:
 Tesla P100 - SCONV (vs cuDNN's IMPLICIT_PRECOMP_GEMM)
 ![sgemm-gv100](https://github.com/ptillet/isaac/blob/master/documentation/bench/gv100/sconv.png?raw=true)
 
-### Acknowledgments
-This work was partially funded by the National Science Foundation (IIS 1409097)
+### Coverage
+
+I would consider GEMM and CONV as both being production-ready. Kernel selection is done for each new shape and the best kernel is cached in RAM. I wouldn't advise this library for applications that use 1000s of different shapes exactly once (e.g., Blocked SVD).
+
+## Acknowledgments
+
+This work was partially supported by the National Science Foundation (IIS 1409097) and by IARPA (contract D16PC00002).
+
diff --git a/papers/isaac_sc17.pdf b/papers/isaac_sc17.pdf
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