Merge pull request #314 from HaudinFlorence/add-SVE2-support-in-xsimd-as-fundable-project

Add SVE2 support in xsimd as a fundable project.

Author: SylvainCorlay

src/components/fundable/MenuSideBar.tsx

@@ -4,7 +4,8 @@ import styles from "./styles.module.css";
 
 const sections = [
   { id: 'jupyter-ecosystem', label: 'Jupyter ecosystem' },
-  { id: 'package-management', label: 'Package management' }
+  { id: 'package-management', label: 'Package management' },
+  { id: 'scientific-computing', label: 'Scientific computing' }
 ];
 
 export default function MenuSideBar() {

src/components/fundable/descriptions/SVE2SupportInXsimd.md

@@ -0,0 +1,10 @@
+#### Overview
+xsimd is a C++ header-only library that abstracts SIMD (vectorization) intrinsics behind a single, generic API. The same code - `xsimd::batch<float>` - compiles to optimal machine code on x86 SSE/AVX, ARM NEON, RISC-V, and WebAssembly, with no runtime overhead. When an intrinsic is missing on a given target, xsimd falls back gracefully rather than failing or leaving the developer to write platform-specific branches. This is why projects like Mozilla Firefox, Apache Arrow, and Pythran have adopted it as their vectorization layer.
+
+Writing SIMD intrinsics by hand is notoriously painful. Each architecture exposes different types, different naming conventions, and different gotchas — alignment rules, predicate registers, lane-width surprises, compiler bugs. Targeting two architectures means two separate, opaque, hard-to-test code paths. xsimd eliminates that cost entirely.
+
+ARM is now a first-class server architecture. AWS Graviton4 — broadly deployed today across EC2 instance families — ships with SVE2, ARM's latest vector ISA. Google and Microsoft have both announced their own ARM-based server chips (Axion and Cobalt 200 respectively), signalling an industry-wide shift. SVE2 brings a materially richer instruction set than NEON, and xsimd currently cannot exploit it — falling back to SVE and NEON on hardware that is capable of significantly more.
+
+We propose to implement a complete xsimd::sve2 backend — all arithmetic, mathematical, and reduction operations . The work will be fully tested, documented, and merged upstream into the public repository under the existing BSD 3-Clause license.
+
+##### Are you interested in this project? Either entirely or partially, contact us for more information on how to help us fund it

src/components/fundable/index.tsx

@@ -30,6 +30,12 @@ export function MainAreaFundableProjects() {
           projectCategoryName={"Package management"}
           projectCategory={fundableProjectsDetails.packageManagement}
         />
+      </section>
+       <section id="scientific-computing">
+        <ProjectCategory
+          projectCategoryName={"Scientific computing"}
+          projectCategory={fundableProjectsDetails.scientificComputing}
+        />
       </section>
       <section id="propose-and-fund-a-project">
         <h2 className={styles.project_category_header} style={{ margin: "0px" }}>Can't find a project?</h2>

src/components/fundable/projectsDetails.ts

@@ -2,7 +2,7 @@ import NbconvertModernizationMD from "@site/src/components/fundable/descriptions
 import JupyterGISRasterProcessingMD from "@site/src/components/fundable/descriptions/JupyterGISRasterProcessing.md"
 import JupyterGISToolsForPythonAPIMD from "@site/src/components/fundable/descriptions/JupyterGISToolsForPythonAPI.md"
 import EmscriptenForgePackageRequestsMD from "@site/src/components/fundable/descriptions/EmscriptenForgePackageRequests.md"
-import JupyterLabParquetFileViewerMD from "@site/src/components/fundable/descriptions/JupyterLabParquetFileViewer.md"
+import SVE2SupportInXsimdMD from "@site/src/components/fundable/descriptions/SVE2SupportInXsimd.md"
 
 export const fundableProjectsDetails = {
     jupyterEcosystem: [
@@ -57,5 +57,20 @@ export const fundableProjectsDetails = {
             currentFundingPercentage: 0,
             repoLink: "https://github.com/mamba-org/mamba"
         }],
+        
+    scientificComputing: [
+        {
+            category: "Scientific Computing",
+            title: "SVE2 support in xsimd",
+            pageName: "SVE2SupportInXsimd",
+            shortDescription: "xsimd is a C++ scientific library that abstract low-level high performances computing primitives across different hardwares. We will add support for the latest SVE2 generation of ARM CPUs.",
+            description: SVE2SupportInXsimdMD,
+            price: "30 000 €",
+            maxNbOfFunders: 2,
+            currentNbOfFunders: 0,
+            currentFundingPercentage: 0,
+            repoLink: "https://github.com/xtensor-stack/xsimd"
+        }
+    ]
 }
 

src/pages/fundable/SVE2SupportInXsimd/GetAQuote.tsx

@@ -0,0 +1,9 @@
+import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
+import GetAQuotePage from '@site/src/components/fundable/GetAQuotePage';
+
+export default function FundablePage() {
+    const { siteConfig } = useDocusaurusContext();
+    return (
+      <GetAQuotePage/>
+    );
+}

src/pages/fundable/SVE2SupportInXsimd/index.tsx

@@ -0,0 +1,9 @@
+import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
+import LargeProjectCardPage from '@site/src/components/fundable/LargeProjectCardPage';
+
+export default function FundablePage() {
+    const { siteConfig } = useDocusaurusContext();
+    return (
+       <LargeProjectCardPage/>
+    );
+}