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no need for space-saving vspaces anymore
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scala-workshop/managed.bib

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@@ -58,7 +58,8 @@ @inproceedings{ecoop14
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title = {Semantics of (Resilient) {X10}},
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author = {Crafa, Silvia and Cunningham, David and Saraswat, Vijay and Shinnar, Avraham and Tardieu, Olivier},
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booktitle = {ECOOP},
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year = {2014}
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year = {2014},
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pages = {670--696}
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}
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@misc{hazelcast,
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title = {{UTS}: An Unbalanced Tree Search Benchmark},
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author = {Olivier, Stephen and Huan, Jun and Liu, Jinze and Prins, Jan and Dinan, James and Sadayappan, P. and Tseng, Chau-Wen},
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booktitle = {LCPC},
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year = {2006}
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year = {2006},
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pages = {235--250}
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}
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@inproceedings{oopsla05,

scala-workshop/perf.tex

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@@ -24,16 +24,16 @@ \section{Performance Evaluation}
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implementations (note the tight scale). The scaling profiles are overall
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similar, with an initial improvement in per-worker throughput, possibly due to
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increased available memory bandwidth when using multiple sockets.
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The performance advantage of the \apgas implementation can be explained by how merging of partial results is handled:
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the corresponding two arrays are locked individually, whereas in the Akka
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implementation, the messages carrying the partial results are processed
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sequentially.
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% The performance advantage of the \apgas implementation can be explained by how merging of partial results is handled:
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% the corresponding two arrays are locked individually, whereas in the Akka
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% implementation, the messages carrying the partial results are processed
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% sequentially.
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\begin{figure}
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\vspace{-0.3cm}
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%\vspace{-0.3cm}
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\hspace{-0.2cm}
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\begingroup\graphicspath{{figures/}}\input{figures/kmeans}\endgroup
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%\vspace{-0.2cm}
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\caption{Scaling of \kmeans implementations.}
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\label{fig:kmeans-scaling}
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\end{figure}
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profiles are similar for the two implementations.
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\begin{figure}
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\hspace{-0.2cm}
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\begingroup\graphicspath{{figures/}}\input{figures/uts}\endgroup
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\vspace{-0.2cm}
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%\vspace{-0.2cm}
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\caption{Scaling of UTS implementations.}
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\label{fig:uts-scaling}
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\end{figure}

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