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added fixes

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This commit is contained in:
Akilan Selvacoumar
2025-04-11 19:03:03 +01:00
parent f35a58d96d
commit 30f930c920
9 changed files with 167 additions and 122 deletions
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22
docs/EuroSys/Paper/paper.aux
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@@ -37,7 +37,6 @@
\newlabel{fig:RangeOfMemory}{{2}{3}{Range of memory}{figure.caption.4}{}} \newlabel{fig:RangeOfMemory}{{2}{3}{Range of memory}{figure.caption.4}{}}
\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}128 bit compressed bounds}{3}{subsection.3.2}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {3.2}128 bit compressed bounds}{3}{subsection.3.2}\protected@file@percent }
\newlabel{sec:128bitCompressedBounds}{{3.2}{3}{128 bit compressed bounds}{subsection.3.2}{}} \newlabel{sec:128bitCompressedBounds}{{3.2}{3}{128 bit compressed bounds}{subsection.3.2}{}}
\citation{sec:FatPointerTranslations}
\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Fat-pointer Address Translations using huge pages}}{4}{figure.caption.5}\protected@file@percent } \@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Fat-pointer Address Translations using huge pages}}{4}{figure.caption.5}\protected@file@percent }
\newlabel{fig:HugePages}{{3}{4}{Fat-pointer Address Translations using huge pages}{figure.caption.5}{}} \newlabel{fig:HugePages}{{3}{4}{Fat-pointer Address Translations using huge pages}{figure.caption.5}{}}
\@writefile{toc}{\contentsline {subsection}{\numberline {3.3}Instrumenting Block-Based Allocators with Physically Contiguous Memory}{4}{subsection.3.3}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {3.3}Instrumenting Block-Based Allocators with Physically Contiguous Memory}{4}{subsection.3.3}\protected@file@percent }
@@ -49,9 +48,6 @@
\newlabel{alg:free}{{2}{4}{Free implementation}{algorithm.2}{}} \newlabel{alg:free}{{2}{4}{Free implementation}{algorithm.2}{}}
\citation{jemalloc} \citation{jemalloc}
\citation{cheribsd} \citation{cheribsd}
\citation{sec:Micro}
\citation{sec:Macro}
\citation{sec:Results}
\citation{Morello} \citation{Morello}
\citation{BenchmarkABI} \citation{BenchmarkABI}
\citation{PerformanceCounter} \citation{PerformanceCounter}
@@ -67,6 +63,8 @@
\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.1}Micro benchmark}{5}{subsubsection.5.2.1}\protected@file@percent } \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.1}Micro benchmark}{5}{subsubsection.5.2.1}\protected@file@percent }
\newlabel{sec:Macro}{{5.2.2}{5}{Macro benchmark}{subsubsection.5.2.2}{}} \newlabel{sec:Macro}{{5.2.2}{5}{Macro benchmark}{subsubsection.5.2.2}{}}
\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.2}Macro benchmark}{5}{subsubsection.5.2.2}\protected@file@percent } \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.2}Macro benchmark}{5}{subsubsection.5.2.2}\protected@file@percent }
\citation{singh1993}
\citation{holt1995}
\@writefile{toc}{\contentsline {subsection}{\numberline {5.3}Results}{6}{subsection.5.3}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {5.3}Results}{6}{subsection.5.3}\protected@file@percent }
\newlabel{sec:Results}{{5.3}{6}{Results}{subsection.5.3}{}} \newlabel{sec:Results}{{5.3}{6}{Results}{subsection.5.3}{}}
\@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces ARM performance counters}}{6}{table.caption.6}\protected@file@percent } \@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces ARM performance counters}}{6}{table.caption.6}\protected@file@percent }
@@ -86,19 +84,21 @@
\bibcite{DirectSegment}{{7}{}{{}}{{}}} \bibcite{DirectSegment}{{7}{}{{}}{{}}}
\bibcite{karakostas_redundant_2015}{{8}{}{{}}{{}}} \bibcite{karakostas_redundant_2015}{{8}{}{{}}{{}}}
\bibcite{chen_flexpointer_2023}{{9}{}{{}}{{}}} \bibcite{chen_flexpointer_2023}{{9}{}{{}}{{}}}
\bibcite{jemalloc}{{10}{}{{}}{{}}} \@writefile{toc}{\contentsline {subsection}{\numberline {5.4}Analysis}{8}{subsection.5.4}\protected@file@percent }
\bibcite{cheribsd}{{11}{}{{}}{{}}} \newlabel{sec:Analysis}{{5.4}{8}{Analysis}{subsection.5.4}{}}
\bibcite{Morello}{{12}{}{{}}{{}}}
\bibcite{BenchmarkABI}{{13}{}{{}}{{}}}
\bibcite{PerformanceCounter}{{14}{}{{}}{{}}}
\@writefile{toc}{\contentsline {subsection}{\numberline {5.4}Usability}{8}{subsection.5.4}\protected@file@percent }
\newlabel{sec:Usability}{{5.4}{8}{Usability}{subsection.5.4}{}}
\@writefile{toc}{\contentsline {section}{\numberline {6}Future work}{8}{section.6}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {6}Future work}{8}{section.6}\protected@file@percent }
\@writefile{toc}{\contentsline {subsection}{\numberline {6.1}Storing Offsets Directly on Pointers}{8}{subsection.6.1}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {6.1}Storing Offsets Directly on Pointers}{8}{subsection.6.1}\protected@file@percent }
\@writefile{toc}{\contentsline {subsection}{\numberline {6.2}Hardware Modifications:}{8}{subsection.6.2}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {6.2}Hardware Modifications:}{8}{subsection.6.2}\protected@file@percent }
\@writefile{toc}{\contentsline {section}{\numberline {7}Conclusion}{8}{section.7}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {7}Conclusion}{8}{section.7}\protected@file@percent }
\@writefile{toc}{\contentsline {section}{References}{8}{section*.10}\protected@file@percent } \@writefile{toc}{\contentsline {section}{References}{8}{section*.10}\protected@file@percent }
\bibcite{jemalloc}{{10}{}{{}}{{}}}
\bibcite{cheribsd}{{11}{}{{}}{{}}}
\bibcite{Morello}{{12}{}{{}}{{}}}
\bibcite{BenchmarkABI}{{13}{}{{}}{{}}}
\bibcite{PerformanceCounter}{{14}{}{{}}{{}}}
\bibcite{Benchmark}{{15}{}{{}}{{}}} \bibcite{Benchmark}{{15}{}{{}}{{}}}
\bibcite{singh1993}{{16}{}{{}}{{}}}
\bibcite{holt1995}{{17}{}{{}}{{}}}
\newlabel{tocindent-1}{0pt} \newlabel{tocindent-1}{0pt}
\newlabel{tocindent0}{0pt} \newlabel{tocindent0}{0pt}
\newlabel{tocindent1}{4.185pt} \newlabel{tocindent1}{4.185pt}

13
docs/EuroSys/Paper/paper.bbl
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@@ -85,4 +85,17 @@ Arm architecture reference manual for a-profile architecture.
{CHERI}-allocator/benchmarks/benchmarks/{StressTestMalloc}/glibc-bench.c at {CHERI}-allocator/benchmarks/benchmarks/{StressTestMalloc}/glibc-bench.c at
main · akilan1999/{CHERI}-allocator. main · akilan1999/{CHERI}-allocator.
\bibitem{singh1993}
Jaswinder~Pal Singh.
\newblock {\em Parallel Hierarchical N-body Methods and Their Implications for
Multiprocessors}.
\newblock PhD thesis, Stanford University, February 1993.
\bibitem{holt1995}
C.~Holt and Jaswinder~Pal Singh.
\newblock Hierarchical n-body methods on shared address space multiprocessors.
\newblock In {\em SIAM Conference on Parallel Processing for Scientific
Computing}, February 1995.
\newblock To appear.
\end{thebibliography} \end{thebibliography}

60
docs/EuroSys/Paper/paper.blg
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@@ -13,10 +13,6 @@ Warning--entry type for "Morello" isn't style-file defined
--line 507 of file paperReferences.bib --line 507 of file paperReferences.bib
Warning--entry type for "PerformanceCounter" isn't style-file defined Warning--entry type for "PerformanceCounter" isn't style-file defined
--line 514 of file paperReferences.bib --line 514 of file paperReferences.bib
Warning--I didn't find a database entry for "sec:FatPointerTranslations"
Warning--I didn't find a database entry for "sec:Micro"
Warning--I didn't find a database entry for "sec:Macro"
Warning--I didn't find a database entry for "sec:Results"
Warning--empty journal in mittal_survey_2017 Warning--empty journal in mittal_survey_2017
Warning--empty year in mittal_survey_2017 Warning--empty year in mittal_survey_2017
Warning--empty year in panwar_hawkeye_2019 Warning--empty year in panwar_hawkeye_2019
@@ -29,45 +25,45 @@ Warning--empty year in THP
Warning--empty year in karakostas_redundant_2015 Warning--empty year in karakostas_redundant_2015
Warning--empty journal in chen_flexpointer_2023 Warning--empty journal in chen_flexpointer_2023
Warning--empty year in chen_flexpointer_2023 Warning--empty year in chen_flexpointer_2023
You've used 15 entries, You've used 17 entries,
1791 wiz_defined-function locations, 1791 wiz_defined-function locations,
530 strings with 6646 characters, 533 strings with 6851 characters,
and the built_in function-call counts, 3384 in all, are: and the built_in function-call counts, 3698 in all, are:
= -- 247 = -- 273
> -- 203 > -- 215
< -- 3 < -- 3
+ -- 75 + -- 80
- -- 60 - -- 63
* -- 264 * -- 278
:= -- 513 := -- 567
add.period$ -- 37 add.period$ -- 44
call.type$ -- 15 call.type$ -- 17
change.case$ -- 15 change.case$ -- 16
chr.to.int$ -- 0 chr.to.int$ -- 0
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duplicate$ -- 134 duplicate$ -- 153
empty$ -- 333 empty$ -- 369
format.name$ -- 60 format.name$ -- 63
if$ -- 736 if$ -- 806
int.to.chr$ -- 0 int.to.chr$ -- 0
int.to.str$ -- 15 int.to.str$ -- 17
missing$ -- 9 missing$ -- 10
newline$ -- 68 newline$ -- 79
num.names$ -- 10 num.names$ -- 12
pop$ -- 66 pop$ -- 74
preamble$ -- 1 preamble$ -- 1
purify$ -- 0 purify$ -- 0
quote$ -- 0 quote$ -- 0
skip$ -- 89 skip$ -- 95
stack$ -- 0 stack$ -- 0
substring$ -- 191 substring$ -- 191
swap$ -- 28 swap$ -- 31
text.length$ -- 3 text.length$ -- 3
text.prefix$ -- 0 text.prefix$ -- 0
top$ -- 0 top$ -- 0
type$ -- 0 type$ -- 0
warning$ -- 12 warning$ -- 12
while$ -- 25 while$ -- 27
width$ -- 17 width$ -- 19
write$ -- 128 write$ -- 151
(There were 21 warnings) (There were 17 warnings)

20
docs/EuroSys/Paper/paper.fdb_latexmk
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@@ -1,13 +1,14 @@
# Fdb version 4 # Fdb version 4
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(generated) (generated)
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"paper.blg" "paper.blg"
(rewritten before read) (rewritten before read)
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6
docs/EuroSys/Paper/paper.fls
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@@ -628,7 +628,7 @@ on physically contigous memory.
\section{Memory allocator design} \section{Memory allocator design}
\label{sec:MemoryAllocator} \label{sec:MemoryAllocator}
This section presents a straightforward memory allocator designed and implemented based on the This section presents a straightforward memory allocator designed and implemented based on the
principles outlined FAT ~\cite{sec:FatPointerTranslations}. The allocator consists of three core functions: InitAlloc, principles outlined FAT ~\ref{sec:FatPointerTranslations}. The allocator consists of three core functions: InitAlloc,
malloc, and free. The InitAlloc function initializes the memory pool, setting up the necessary malloc, and free. The InitAlloc function initializes the memory pool, setting up the necessary
data structures and metadata required for efficient memory management. The malloc function is data structures and metadata required for efficient memory management. The malloc function is
responsible for allocating a contiguous block of memory of a specified size, while the free responsible for allocating a contiguous block of memory of a specified size, while the free
@@ -716,9 +716,9 @@ applications and kernel-level operations.
\section{Evaluation} \section{Evaluation}
\label{sec:Evaluation} \label{sec:Evaluation}
We conducted tests of the FAT Pointer-based range addresses against Jemalloc~\cite{jemalloc}, We conducted tests of the FAT memory allocator against Jemalloc~\cite{jemalloc},
the default memory allocator for CHERIBSD~\cite{cheribsd}, to assess the performance improvements Jemalloc is the default memory allocator for CHERIBSD~\cite{cheribsd}, to assess the performance improvements
enabled by a CHERI-based huge page-aware allocator. Specifically, we evaluated enabled by the FAT allocator. Specifically, we evaluated
the reduction in TLB walks and misses and its impact on wall clock runtime. the reduction in TLB walks and misses and its impact on wall clock runtime.
To comprehensively analyze the proposed allocator, we categorized benchmarks into To comprehensively analyze the proposed allocator, we categorized benchmarks into
@@ -733,14 +733,14 @@ the specific configurations, compiler options, and system environment tailored
to benchmark the proposed allocator. This ensures consistency and repeatability to benchmark the proposed allocator. This ensures consistency and repeatability
in our results, providing a solid foundation for meaningful comparisons. in our results, providing a solid foundation for meaningful comparisons.
We further elaborated on the two classes of benchmarks executed. Micro benchmarks (section~\cite{sec:Micro}). We further elaborated on the two classes of benchmarks executed. Micro benchmarks (section~\ref{sec:Micro}).
focused on particular allocation and deallocation patterns, such as sequential and focused on particular allocation and deallocation patterns, such as sequential and
random memory accesses, to stress-test the allocator under controlled conditions. random memory accesses, to stress-test the allocator under controlled conditions.
Macro benchmarks (section~\cite{sec:Macro}) involved real-world applications, offering insights into how Macro benchmarks (section~\ref{sec:Macro}) involved real-world applications, offering insights into how
the allocator performs with complex memory allocation demands, large datasets, the allocator performs with complex memory allocation demands, large datasets,
and varying execution contexts. and varying execution contexts.
The results (section~\cite{sec:Results}) presents the outcomes of our benchmarks, highlighting key metrics The results (section~\ref{sec:Results}) presents the outcomes of our benchmarks, highlighting key metrics
such as TLB miss rates, memory usage, and runtime performance. We observed that the such as TLB miss rates, memory usage, and runtime performance. We observed that the
proposed allocator demonstrated significant improvements in reducing TLB misses, proposed allocator demonstrated significant improvements in reducing TLB misses,
leading to noticeable enhancements in runtime efficiency for both micro and macro leading to noticeable enhancements in runtime efficiency for both micro and macro
@@ -828,15 +828,16 @@ the proposed changes.
The benchmarks~\cite{Benchmark} are classified into 2 classes: The benchmarks~\cite{Benchmark} are classified into 2 classes:
\subsubsection{Micro benchmark} \subsubsection{Micro benchmark}
\label{sec:Micro} \label{sec:Micro}
\begin{itemize} \begin{itemize}
\item GLIBC: The Glibc benchmark evaluates the performance of \item \texttt{GLIBC}: The Glibc benchmark evaluates the performance of
malloc and free functions in single-threaded, multi-threaded, malloc and free functions in single-threaded, multi-threaded,
and emulated multi-threading scenarios using various block sizes and and emulated multi-threading scenarios using various block sizes and
allocation patterns. It simulates real-world memory usage by partially allocation patterns. It simulates real-world memory usage by partially
deallocating blocks in FIFO order and fully deallocating them in LIFO order. deallocating blocks in FIFO order and fully deallocating them in LIFO order.
Results are gathered across configurations to analyze performance variations. Results are gathered across configurations to analyze performance variations.
\item MemAccess: This benchmark by Alex Bordei evaluates the performance impact of \item \texttt{MemAccess}: This benchmark by Alex Bordei evaluates the performance impact of
memory access patterns by constructing and traversing a doubly memory access patterns by constructing and traversing a doubly
linked list with varying working set sizes. It supports sequential or linked list with varying working set sizes. It supports sequential or
randomized structures, optional node operations, and multithreaded randomized structures, optional node operations, and multithreaded
@@ -846,32 +847,39 @@ The benchmarks~\cite{Benchmark} are classified into 2 classes:
\subsubsection{Macro benchmark} \subsubsection{Macro benchmark}
\label{sec:Macro} \label{sec:Macro}
\begin{itemize} \begin{itemize}
\item Kmeans: Kmeans implements a parallelized K-means clustering algorithm that \item \texttt{Kmeans}: Kmeans implements a parallelized K-means clustering algorithm that
assigns data points to clusters based on proximity to centroids, assigns data points to clusters based on proximity to centroids,
iteratively updating them until convergence. The computation is iteratively updating them until convergence. The computation is
distributed across threads using the pthread library, dynamically distributed across threads using the pthread library, dynamically
assigning tasks to optimize performance. Parameters like data size assigning tasks to optimize performance. Parameters like data size
and clusters are configurable, and the program ensures efficient and clusters are configurable, and the program ensures efficient
memory management and synchronization. memory management and synchronization.
\item Richards: Richards is a task scheduling benchmark that simulates a \item \texttt{Richards}: Richards is a task scheduling benchmark that simulates a
multitasking environment with tasks of varying types and priorities, multitasking environment with tasks of varying types and priorities,
communicating through queued packets. The schedule function manages communicating through queued packets. The schedule function manages
task execution based on state and priority, tracking processed packets task execution based on state and priority, tracking processed packets
and held tasks for performance evaluation. Configurable iterations and and held tasks for performance evaluation. Configurable iterations and
timing help measure system performance and ensure correctness. timing help measure system performance and ensure correctness.
\item \texttt{BARNES}: Implements the Barnes-Hut algorithm to efficiently simulate the interactions within
an \(N\)-body system. A comprehensive overview of the Barnes-Hut method is provided by Singh in his doctoral
dissertation ~\cite{singh1993}. The implementation we benchmark extends the original method by permitting multiple
particles to be stored within each leaf cell of the spatial decomposition, enhancing performance and scalability.
This extension is described by Holt and Singh ~\cite{holt1995}.
\end{itemize} \end{itemize}
\subsection{Results} \subsection{Results}
\label{sec:Results} \label{sec:Results}
\begin{figure*}[h] \begin{figure*}[h]
\includegraphics[width=.9\linewidth]{diagram/bargraph.png} \includegraphics[width=.9\linewidth]{diagram/bargraph.png}
\caption{\label{fig:bargraph}Percentage difference between the modified memory allocator against the default system memory allocator} \caption{\label{fig:bargraph}Percentage difference between the modified memory allocator against the default system memory allocator}
\end{figure*} \end{figure*}
The graph (Figure \ref{fig:bargraph}) highlights the performance comparison between the modified memory allocator and The graph (Figure \ref{fig:bargraph}) highlights the performance comparison between the modified memory allocator and
Jemalloc, the default memory allocator. The FAT pointer memory allocator, specifically optimized Jemalloc, the default memory allocator. The FAT memory allocator, specifically optimized
for use with huge pages, demonstrates a clear advantage in scenarios where memory allocation for use with huge pages, demonstrates a clear advantage in scenarios where memory allocation
patterns benefit from its design. The results align with expectations, showcasing the impact patterns benefit from its design. The results align with expectations, showcasing the impact
of its capability to handle memory more efficiently by leveraging huge pages. of its capability to handle memory more efficiently by leveraging huge pages.
@@ -884,7 +892,7 @@ of its capability to handle memory more efficiently by leveraging huge pages.
reduction on L2 DTLB reads. This demonstrates that all the TLB translations are read at the L1 TLB reduction on L2 DTLB reads. This demonstrates that all the TLB translations are read at the L1 TLB
cache. cache.
\item L1 DTLB walks: Due to most of the TLB entries getting hit at the L1 DTLB there is no need \item DTLB walks: Due to most of the TLB entries getting hit at the L1 DTLB there is no need
to walk the TLB cache hierarchy. This is shown by an average of 99\% reduction in DTLB walks. to walk the TLB cache hierarchy. This is shown by an average of 99\% reduction in DTLB walks.
\item L1 DTLB refills: Since there are lesser DTLB walks and most reads are done at the L1 DTLB \item L1 DTLB refills: Since there are lesser DTLB walks and most reads are done at the L1 DTLB
@@ -921,7 +929,7 @@ bottlenecked by factors such as computation or I/O rather than memory translatio
\end{figure} \end{figure}
The K-means algorithm was executed with varying cluster sizes to evaluate the performance difference The K-means algorithm was executed with varying cluster sizes to evaluate the performance difference
between the FAT pointer allocator and the baseline allocator as the workload scales. This analysis between the FAT allocator and Jemalloc as the workload scales. This analysis
aims to understand how the allocator's optimizations, particularly its ability to manage memory aims to understand how the allocator's optimizations, particularly its ability to manage memory
more efficiently with huge pages, impact performance under different workload conditions. more efficiently with huge pages, impact performance under different workload conditions.
@@ -949,7 +957,8 @@ consistent performance benefits across most scenarios.
\subsection{Analysis} \subsection{Analysis}
\label{sec:Analysis} \label{sec:Analysis}
The FAT pointer memory allocator demonstrates significant potential for enhancing
The FAT memory allocator demonstrates significant potential for enhancing
memory management in systems that benefit from huge page optimizations. Its design memory management in systems that benefit from huge page optimizations. Its design
effectively reduces TLB misses, achieving up to 90\% fewer data TLB walks, L2 TLB reads, effectively reduces TLB misses, achieving up to 90\% fewer data TLB walks, L2 TLB reads,
and TLB refills compared to Jemalloc. These improvements lead to noticeable performance and TLB refills compared to Jemalloc. These improvements lead to noticeable performance

17
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@@ -537,4 +537,21 @@ pages = {129–139},
numpages = {11} numpages = {11}
} }
@phdthesis{singh1993,
author = {Singh, Jaswinder Pal},
title = {Parallel Hierarchical N-body Methods and Their Implications for Multiprocessors},
school = {Stanford University},
year = {1993},
month = feb,
}
@inproceedings{holt1995,
author = {Holt, C. and Singh, Jaswinder Pal},
title = {Hierarchical N-Body Methods on Shared Address Space Multiprocessors},
booktitle = {SIAM Conference on Parallel Processing for Scientific Computing},
year = {1995},
note = {To appear},
month = feb
}