diff --git a/content/publication/2020522_pearson_iwapt/index.md b/content/publication/2020522_pearson_iwapt/index.md
index ea336c2..acb8970 100644
--- a/content/publication/2020522_pearson_iwapt/index.md
+++ b/content/publication/2020522_pearson_iwapt/index.md
@@ -26,9 +26,10 @@ abstract = """
 High-performance distributed computing systems increasingly feature nodes that have multiple CPU sockets and multiple GPUs.
 The communication bandwidth between these components is non-uniform.
 Furthermore, these systems can expose different communication capabilities between these components.
-For communication-heavy applications, optimally using these capabilities is challenging and essential for performance.
-This work presents approaches for automatic data placement and communication implementation for 3D stencil codes on multi-GPU nodes with non-homogeneous communication performance and capabilities.
-Benchmarking results in the Summit system show that choices in placement can result in a 20% improvement in single-node exchange, and communication specialization canyield a further 6x improvement in exchange time in a single node, and a 16% improvement at 1536 GPUs"""
+For communication-heavy applications, optimally using these capabilities is challenging and essential for performance. 
+Bespoke codes with optimized communication may be non-portable across run-time/software/hardware configurations, and existing stencil frameworks neglect optimized communication.
+This work presents node-aware approaches for automatic data placement and communication implementation for 3D stencil codes on multi-GPU nodes with non-homogeneous communication performance and capabilities.
+Benchmarking results in the Summit system show that choices in placement can result in a 20% improvement in single-node exchange, and communication specialization can yield a further 6x improvement in exchange time in a single node, and a 16% improvement at 1536 GPUs."""
 abstract_short = ""