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Mining hot calling contexts in small space

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470175668.ch8openalex-snapshot
Algorithms for Data Streams
inferredcites →https://doi.org/10.1002/cpe.1125openalex-snapshot
Incremental call‐path profiling
inferredcites →https://doi.org/10.1002/spe.4380180506openalex-snapshot
Inaccuracies in program profilers
inferredcites →https://doi.org/10.1002/spe.4380220502openalex-snapshot
Profile‐guided automatic inline expansion for C programs
inferredcites →https://doi.org/10.1002/spe.562openalex-snapshot
Fast, accurate call graph profiling
inferredcites →https://doi.org/10.1007/978-3-540-49051-7_4openalex-snapshot
Interprocedural Path Profiling
inferredcites →https://doi.org/10.1016/b978-155860869-6/50038-xopenalex-snapshot
Approximate Frequency Counts over Data Streams
inferredcites →https://doi.org/10.1109/32.391375openalex-snapshot
Call path refinement profiles
inferredcites →https://doi.org/10.1109/cgo.2005.28openalex-snapshot
Practical Path Profiling for Dynamic Optimizers
inferredcites →https://doi.org/10.1109/cgo.2009.11openalex-snapshot
Profiling k-Iteration Paths : A Generalization of the Ball-Larus Profiling Algorithm
inferredcites →https://doi.org/10.1109/cgo.2009.12openalex-snapshot
Building Approximate Calling Context from Partial Call Traces
inferredcites →https://doi.org/10.1109/micro.1996.566449openalex-snapshot
Efficient path profiling
inferredcites →https://doi.org/10.1109/micro.2005.16openalex-snapshot
Continuous Path and Edge Profiling
inferredcites →https://doi.org/10.1109/msr.2013.6624035openalex-snapshot
Discovering, reporting, and fixing performance bugs
inferredcites →https://doi.org/10.1109/secpri.2003.1199328openalex-snapshot
Anomaly detection using call stack information
inferredcites →https://doi.org/10.1109/tse.2011.70openalex-snapshot
Precise Calling Context Encoding
inferredcites →https://doi.org/10.1109/tse.2014.2339825openalex-snapshot
Input-Sensitive Profiling
inferredcites →https://doi.org/10.1145/1065010.1065034openalex-snapshot
Pin
inferredcites →https://doi.org/10.1145/1088149.1088161openalex-snapshot
Low-overhead call path profiling of unmodified, optimized code
inferredcites →https://doi.org/10.1145/1133255.1134012openalex-snapshot
Accurate, efficient, and adaptive calling context profiling
inferredcites →https://doi.org/10.1145/1133981.1134012openalex-snapshot
Accurate, efficient, and adaptive calling context profiling
inferredcites →https://doi.org/10.1145/1166074.1166084openalex-snapshot
An integrated efficient solution for computing frequent and top- k elements in data streams
inferredcites →https://doi.org/10.1145/1190215.1190268openalex-snapshot
Preferential path profiling
inferredcites →https://doi.org/10.1145/1190216.1190268openalex-snapshot
Preferential path profiling
inferredcites →https://doi.org/10.1145/1250734.1250746openalex-snapshot
Valgrind
inferredcites →https://doi.org/10.1145/1287624.1287681openalex-snapshot
Measuring empirical computational complexity
inferredcites →https://doi.org/10.1145/1297027.1297035openalex-snapshot
Probabilistic calling context
inferredcites →https://doi.org/10.1145/1806596.1806599openalex-snapshot
Breadcrumbs
inferredcites →https://doi.org/10.1145/1993498.1993559openalex-snapshot
Mining hot calling contexts in small space
inferredcites →https://doi.org/10.1145/2254064.2254074openalex-snapshot
Algorithmic profiling
inferredcites →https://doi.org/10.1145/2483760.2483784openalex-snapshot
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks
inferredcites →https://doi.org/10.1145/2509136.2509510openalex-snapshot
Efficient context sensitivity for dynamic analyses via calling context uptrees and customized memory management
inferredcites →https://doi.org/10.1145/2509136.2509521openalex-snapshot
Ball-Larus path profiling across multiple loop iterations
inferredcites →https://doi.org/10.1145/2544137.2544143openalex-snapshot
Estimating the Empirical Cost Function of Routines with Dynamic Workloads
inferredcites →https://doi.org/10.1145/2544137.2544150openalex-snapshot
DeltaPath
inferredcites →https://doi.org/10.1145/258915.258924openalex-snapshot
Exploiting hardware performance counters with flow and context sensitive profiling
inferredcites →https://doi.org/10.1145/268946.268958openalex-snapshot
Edge profiling versus path profiling
inferredcites →https://doi.org/10.1145/277650.277665openalex-snapshot
Improving data-flow analysis with path profiles
inferredcites →https://doi.org/10.1145/301618.301678openalex-snapshot
Whole program paths
inferredcites →https://doi.org/10.1145/302405.302637openalex-snapshot
Residual test coverage monitoring
inferredcites →https://doi.org/10.1145/337449.337483openalex-snapshot
A portable sampling-based profiler for Java virtual machines
inferredcites →https://doi.org/10.1145/378795.378832openalex-snapshot
A framework for reducing the cost of instrumented code
inferredcites →https://doi.org/10.1145/586094.586104openalex-snapshot
Selective path profiling
inferredcites →https://doi.org/10.1145/780822.781148openalex-snapshot
Bug isolation via remote program sampling
inferredcites →https://doi.org/10.1145/781131.781148openalex-snapshot
Bug isolation via remote program sampling
inferredcites →https://doi.org/10.1145/800230.806987openalex-snapshot
Gprof
inferredcites →https://doi.org/10.14778/1454159.1454225openalex-snapshot
Finding frequent items in data streams
inferredcites →https://doi.org/10.14778/2367502.2367508openalex-snapshot
Approximate frequency counts over data streams
inferredcites →https://doi.org/10.1561/0400000002openalex-snapshot
Data Streams: Algorithms and Applications
inferredcites →https://doi.org/10.1561/9781933019604openalex-snapshot
Data Streams: Algorithms and Applications
inferredcites →https://doi.org/10.5555/977395.977660openalex-snapshot
Targeted path profiling: lower overhead path profiling for staged dynamic optimization systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-39445-5_52openalex-snapshot
Hardware Transactional Memory as Anti-analysis Technique for Software Protectors
inferred← citeshttps://doi.org/10.1007/978-3-030-63092-8_48openalex-snapshot
Techniques Implemented in Software Protectors: A Journey with DBI Through What Protectors Use to Detect Bad Guys
inferred← citeshttps://doi.org/10.1007/978-3-030-80129-8_66openalex-snapshot
Beware of Unknown Areas to Notify Adversaries: Detecting Dynamic Binary Instrumentation Runtimes with Low-Level Memory Scanning
inferred← citeshttps://doi.org/10.1109/eurosp53844.2022.00026openalex-snapshot
Fuzzing with Data Dependency Information
inferred← citeshttps://doi.org/10.1109/secdev45635.2020.00019openalex-snapshot
Fuzzing Binaries for Memory Safety Errors with QASan
inferred← citeshttps://doi.org/10.1145/3302516.3307351openalex-snapshot
Valence: variable length calling context encoding
inferred← citeshttps://doi.org/10.1145/3395363.3397372openalex-snapshot
WEIZZ: automatic grey-box fuzzing for structured binary formats
inferred← citeshttps://doi.org/10.1145/3460120.3484583openalex-snapshot
Constantine: Automatic Side-Channel Resistance Using Efficient Control and Data Flow Linearization
inferred← citeshttps://doi.org/10.14722/ndss.2024.24113openalex-snapshot
Predictive Context-sensitive Fuzzing
inferred← citeshttps://doi.org/10.70675/ccab4797z84b7z4bbdzbe73z40ecb48da494openalex-snapshot
Fuzzing in the 2020s : novel approaches and solutions
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