whitespace cleanup

diff --git a/conferences/ngisearch2023/ngisearch2023.tex b/conferences/ngisearch2023/ngisearch2023.tex
index a1597f655b4c0ce7d64e2178dcc8d4e19bc27d31..7ca345041b36c31c1f16914bb2962e004550de6a 100644 (file)
--- a/conferences/ngisearch2023/ngisearch2023.tex
+++ b/conferences/ngisearch2023/ngisearch2023.tex
@@ -33,14 +33,14 @@
 
  \begin{itemize}
     \item Take existing search algorithms and optimise a Vector ISA    
-       (at the hardware level) to\rincrease energy efficiency
+       (at the hardware level) toincrease energy efficiency
          \vspace{6pt}
     \item Whilst normally a software developer has to make the best
        out of the situation of being provided with a "fait-accomplit" 
        ISA (ARM, x86, MIPS) and attempt to optimise Search
-    \r   algorithms for it, we aim to turn it around: work out what
-    \r   features of an ISA, if added,\r would make the same algorithms
-    \r   much more power-efficient.
+       algorithms for it, we aim to turn it around: work out what
+       features of an ISA, if added, would make the same algorithms
+       much more power-efficient.
                \vspace{6pt}
    \item RED:    Hardware/ISA concepts and project management\\
    \item VectorCamp:    Algorithm analysis and concepts\\