diff --git a/src/components/Footer.astro b/src/components/Footer.astro
index ceeda52..dfd425b 100644
--- a/src/components/Footer.astro
+++ b/src/components/Footer.astro
@@ -42,7 +42,7 @@ const cols = [
The commercial arm of the open-source Devito project — performance-portable
- finite-difference HPC for seismic imaging.
+ seismic imaging.
GitHub
diff --git a/src/data/content.ts b/src/data/content.ts
index d935552..40b90b9 100644
--- a/src/data/content.ts
+++ b/src/data/content.ts
@@ -109,7 +109,7 @@ export const useCases = {
{ title: 'Embed in your stack', body: 'Call DevitoPRO from applications in other languages through the Decoupler API, with full MPI support, and integrate generated propagators into existing inversion engines.' },
{ title: 'Very large models', body: 'Run models beyond the limits of in-house codes using compression, data streaming, expanding-box and mixed precision to keep memory and transfer costs in check.' },
{ title: 'Cloud-native seismic imaging', body: 'Tuned, benchmarked deployments on AWS, Azure and GCP — portable across available instances.' },
- { title: 'Immersed-boundary topography', body: 'Accurate land topography on finite-difference grids via immersed boundary support.' },
+ { title: 'Immersed-boundary topography', body: 'Accurate land topography via immersed-boundary support on the simulation grid.' },
{ title: 'Time-lapse (4D) monitoring', body: 'Production workflows for repeat surveys — scale imaging and inversion consistently across vintages.' },
{ title: 'Least-squares imaging (LS-RTM) & variants', body: 'Iterative imaging and imaging-condition variants built from the same symbolic building blocks.' },
],
@@ -137,7 +137,7 @@ export const caseStudies = [
outlet: 'Intel Customer Spotlight',
date: '2024-11-04',
href: 'https://www.intel.com/content/www/us/en/customer-spotlight/stories/devito-codes-customer-story.html',
- body: 'How Devito Codes helps customers resolve the HPC trilemma — performance, portability and productivity — generating optimized finite-difference code from a Python DSL.',
+ body: 'How Devito Codes helps customers resolve the HPC trilemma — performance, portability and productivity — generating optimized native code from a Python DSL.',
external: true,
},
{
@@ -161,7 +161,7 @@ export const caseStudies = [
outlet: 'Microsoft Research',
date: '2022-03-03',
href: 'https://www.microsoft.com/en-us/research/video/devito-workshop-at-2022-rice-energy-high-performance-computing-conference/',
- body: 'A workshop and hackathon introducing Devito — the DSL and code-generation framework for highly optimized finite-difference kernels such as FWI and RTM — run on Azure CPU and GPU instances, with lightning talks illustrating Devito from end-user, cloud-provider, hardware and academic perspectives.',
+ body: 'A workshop and hackathon introducing Devito — the DSL and code-generation framework for highly optimized FWI and RTM kernels — run on Azure CPU and GPU instances, with lightning talks illustrating Devito from end-user, cloud-provider, hardware and academic perspectives.',
external: true,
},
];
diff --git a/src/data/features.ts b/src/data/features.ts
index 8cc9755..29c2cdf 100644
--- a/src/data/features.ts
+++ b/src/data/features.ts
@@ -8,7 +8,7 @@ export interface FeatureCategory { name: string; rows: FeatureRow[]; }
export const featureIntro =
'DevitoPRO extends open-source Devito for production seismic imaging and inversion. ' +
- 'Both express finite-difference kernels symbolically; DevitoPRO adds the tuning, ' +
+ 'Both let you express PDE solvers symbolically; DevitoPRO adds the tuning, ' +
'portability and enterprise support needed for production HPC workflows.';
// Curated headline capabilities — the primary view on /features.
diff --git a/src/data/site.ts b/src/data/site.ts
index 192f6d7..2ff3221 100644
--- a/src/data/site.ts
+++ b/src/data/site.ts
@@ -10,7 +10,7 @@ export const site = {
description:
'DevitoPRO — production-grade code generation for seismic imaging and ' +
- 'finite-difference HPC. Symbolic Python in, optimized native CPU/GPU kernels out.',
+ 'high-performance computing. Symbolic Python in, optimized native CPU/GPU kernels out.',
social: {
github: 'https://github.com/devitocodes',