minor

Author: jbcaillau

docs/src/jlesc17.md

@@ -57,7 +57,7 @@ b(t_0, X_0, t_N, X_N) = 0
 g(X_i, U_i) = 0,\quad i = 0,\dots,N
 ```
 
-- SIMD parallelism ($f0$, $f$, $g$) + sparsity: Kernels for GPU ([KernelAbstraction.jl](https://juliagpu.github.io/KernelAbstractions.jl/stable/)) and sparse linear algebra ([CUDSS.jl](https://github.com/exanauts/CUDSS.jl))
+- SIMD parallelism ($f_0$, $f$, $g$) + sparsity: Kernels for GPU ([KernelAbstraction.jl](https://juliagpu.github.io/KernelAbstractions.jl/stable/)) and sparse linear algebra ([CUDSS.jl](https://github.com/exanauts/CUDSS.jl))
 - Modelling and optimising for GPU: [ExaModels.jl](https://exanauts.github.io/ExaModels.jl/dev/guide)  + [MadNLP.jl](https://madnlp.github.io/MadNLP.jl), with **built-in AD**
 - [Simple example, DSL](@ref tutorial-double-integrator-energy)
 - Compile into an ExaModel (one pass compiler, [syntax + semantics](https://github.com/control-toolbox/CTParser.jl/blob/20c6be5c953587fef10b054a95f9dc8c66b90577/src/onepass.jl#L145))