NDLI: Low-overhead memory leak detection using adaptive statistical profiling

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Programming with transactional coherence and consistency (TCC)

D-SPTF: decentralized request distribution in brick-based storage systems

HIDE: an infrastructure for efficiently protecting information leakage on the address bus

Coherence decoupling: making use of incoherence

HOIST: a system for automatically deriving static analyzers for embedded systems

Locality phase prediction

Devirtualizable virtual machines enabling general, single-node, online maintenance

Formal online methods for voltage/frequency control in multiple clock domain microprocessors

Spatial computation

FAB: building distributed enterprise disk arrays from commodity components

Secure program execution via dynamic information flow tracking

Continual flow pipelines

Helper threads via virtual multithreading on an experimental $itanium^{®}$ 2 processor-based platform

Dynamic tracking of page miss ratio curve for memory management

Fingerprinting: bounding soft-error detection latency and bandwidth

Heat-and-run: leveraging SMT and CMP to manage power density through the operating system

An ultra low-power processor for sensor networks

Deconstructing storage arrays

Scalable selective re-execution for EDGE architectures

Low-overhead memory leak detection using adaptive statistical profiling

Compiler orchestrated prefetching via speculation and predication

Application-level checkpointing for shared memory programs

Performance directed energy management for main memory and disks

Software prefetching for mark-sweep garbage collection: hardware analysis and software redesign

Low-overhead memory leak detection using adaptive statistical profiling

Content Provider	ACM Digital Library
Author	Chilimbi, Trishul M. Hauswirth, Matthias
Abstract	Sampling has been successfully used to identify performance optimization opportunities. We would like to apply similar techniques to check program correctness. Unfortunately, sampling provides poor coverage of infrequently executed code, where bugs often lurk. We describe an adaptive profiling scheme that addresses this by sampling executions of code segments at a rate inversely proportional to their execution frequency. To validate our ideas, we have implemented SWAT, a novel memory leak detection tool. SWAT traces program allocations/ frees to construct a heap model and uses our adaptive profiling infrastructure to monitor loads/stores to these objects with low overhead. SWAT reports 'stale' objects that have not been accessed for a 'long' time as leaks. This allows it to find all leaks that manifest during the current program execution. Since SWAT has low runtime overhead (‹5%), and low space overhead (‹10% in most cases and often less than 5%), it can be used to track leaks in production code that take days to manifest. In addition to identifying the allocations that leak memory, SWAT exposes where the program last accessed the leaked data, which facilitates debugging and fixing the leak. SWAT has been used by several product groups at Microsoft for the past 18 months and has proved effective at detecting leaks with a low false positive rate (‹10%).
Starting Page	156
Ending Page	164
Page Count	9
File Format	PDF
ISBN	1581138040
DOI	10.1145/1024393.1024412
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-10-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Runtime analysis Low-overhead monitoring Memory leaks
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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