Tweaked line lengths.

content/events/2025/an-introduction-to-developing-highly-parallel-applications-using-c++-and-sycl.md

@@ -7,12 +7,11 @@ title: 'An introduction to developing highly parallel applications using C++ and
 external_url: 'https://www.hipeac.net/2025/barcelona/#/program/sessions/8191/'
 ---
 
-In this tutorial, we will introduce SYCL and provide programmers with a solid foundation
-they can build on to gain mastery of this language. The main benefit of using SYCL over
-other heterogeneous programming models is the single programming language approach, 
-which enables one to target multiple devices using the same programming model, and 
+In this tutorial, we will introduce SYCL and provide programmers with a solid foundation they can build on to gain
+mastery of this language. The main benefit of using SYCL over other heterogeneous programming models is the single
+programming language approach, which enables one to target multiple devices using the same programming model, and
 therefore to have a cleaner, portable, and more readable code.
 
-This is a hands-on tutorial. The real learning will happen as attendees write code. 
-The format will be short presentations followed by hands-on exercises. 
-Hence, attendees will require their own laptop to perform the hands-on exercises.
+This is a hands-on tutorial. The real learning will happen as attendees write code. The format will be short
+presentations followed by hands-on exercises. Hence, attendees will require their own laptop to perform the hands-on
+exercises.

content/research_papers/2024/2024-12-19-implementation-of-two-numerical-solvers-for-the-study-of-non-equilibrium-gas-dynamics-on-gpu-accelerated-platforms-using-sycl.md

@@ -11,25 +11,20 @@ tags:
   - portability
 ---
 
-The application of GPUs has extended beyond traditional graphics rendering because their
-parallel processing capabilities can accelerate many general-purpose tasks, such as machine
-learning and scientific computing. This thesis presents the implementation of two numerical
-solvers for the solution of non-equilibrium gas flows. It also demonstrates the computational
-performance of the two solvers when developed to target GPU-based supercomputers using the SYCL
-programming model. The first solver incorporates a novel ray-tracing technique and accurate
-mathematical relations to efficiently compute any observable property of free-molecular flow
-past convex shapes (FMFC). It computes integrals of the Maxwell-Boltzmann distribution function
-to create an algorithm that quickly evaluates any moment of the local particle-velocity
-distribution. This highly efficient technique is extended for GPUs to accelerate the
-computation of accurate results. Results produced with the solver serve as robust benchmarks
-in the validation of other scientific models that describe fluid motion in non-equilibrium
-regimes. The second solver extends a CPU-based implementation of the discontinuous Galerkin Hancock (DGH)
-method into an efficient GPU code. The DGH scheme is a high-order numerical method that
-solves hyperbolic partial differential equations (PDEs) with stiff source terms. This class
-of equations is common in many models that are used to describe non-equilibrium gas flows.
-The GPU implementation of the DGH solver that is presented in this work provides a
-computationally efficient and numerically accurate method to compute the solution for these
-models. Results produced by the FMFC and DGH solvers showcase their accuracy and parallel
-scalability as efficient GPU algorithms. Furthermore, the effectiveness of the FMFC
-solver as a validation tool is demonstrated by producing benchmarks to confirm the
-accuracy of scientific models that are solved with numerical schemes such as DGH.
+The application of GPUs has extended beyond traditional graphics rendering because their parallel processing
+capabilities can accelerate many general-purpose tasks, such as machine learning and scientific computing. This thesis
+presents the implementation of two numerical solvers for the solution of non-equilibrium gas flows. It also demonstrates
+the computational performance of the two solvers when developed to target GPU-based supercomputers using the SYCL
+programming model. The first solver incorporates a novel ray-tracing technique and accurate mathematical relations to
+efficiently compute any observable property of free-molecular flow past convex shapes (FMFC). It computes integrals of
+the Maxwell-Boltzmann distribution function to create an algorithm that quickly evaluates any moment of the local
+particle-velocity distribution. This highly efficient technique is extended for GPUs to accelerate the computation of
+accurate results. Results produced with the solver serve as robust benchmarks in the validation of other scientific
+models that describe fluid motion in non-equilibrium regimes. The second solver extends a CPU-based implementation of
+the discontinuous Galerkin Hancock (DGH)method into an efficient GPU code. The DGH scheme is a high-order numerical
+method that solves hyperbolic partial differential equations (PDEs) with stiff source terms. This class of equations is
+common in many models that are used to describe non-equilibrium gas flows. The GPU implementation of the DGH solver that
+is presented in this work provides a computationally efficient and numerically accurate method to compute the solution
+for these models. Results produced by the FMFC and DGH solvers showcase their accuracy and parallel scalability as
+efficient GPU algorithms. Furthermore, the effectiveness of the FMFC solver as a validation tool is demonstrated by
+producing benchmarks to confirm the accuracy of scientific models that are solved with numerical schemes such as DGH.