Modern software systems heavily use the memory heap. As systems grow more complex and compute with increasing amounts of data, it can be difficult for developers to understand how their programs actually use the bytes that they allocate on the heap and whether improvements are possible. To answer this question of heap usage efficiency, we have built a new, detailed heap profiler called Memoro. Memoro uses a combination of static instrumentation, subroutine interception, and runtime data collection to build a clear picture of exactly when and where a program performs heap allocation, and crucially how it actually uses that memory. Memoro also introduces a new visualization application that can distill collected data into scores and visual cu...
Most application’s performance is impacted by the amount of available memory. In a traditional appli...
Prompted by claims that garbage collection can outperform stack allocation when sufficient physical ...
Our objective is to propose methods for resource-aware compilation inspired by the implicit complexi...
textProgrammers increasingly rely on managed languages (e.g. Java and C#) to develop applications fa...
textProgrammers increasingly rely on managed languages (e.g. Java and C#) to develop applications fa...
Programmers increasingly rely on managed languages (e.g. Java and C#) to develop applications faster...
© 2021 ACM.Hardware performance monitoring units (PMUs) are a standard feature in modern microproces...
Project Specification This project aims to build a memory allocation profiling on top of the popula...
Project Specification This project aims to build a memory allocation profiling on top of the popula...
Software written in programming languages that permit manual memory management, such as C and C++, a...
GCspy is an architectural framework for the collection, transmission, storage and replay of memory m...
Modeling the evolution of the state of program memory during program execution is critical to many p...
textThe programming language and underlying hardware determine application performance, and both ar...
textThe programming language and underlying hardware determine application performance, and both ar...
Heap exploits are one of the most advanced, complex and frequent types of attack. Over the years, ma...
Most application’s performance is impacted by the amount of available memory. In a traditional appli...
Prompted by claims that garbage collection can outperform stack allocation when sufficient physical ...
Our objective is to propose methods for resource-aware compilation inspired by the implicit complexi...
textProgrammers increasingly rely on managed languages (e.g. Java and C#) to develop applications fa...
textProgrammers increasingly rely on managed languages (e.g. Java and C#) to develop applications fa...
Programmers increasingly rely on managed languages (e.g. Java and C#) to develop applications faster...
© 2021 ACM.Hardware performance monitoring units (PMUs) are a standard feature in modern microproces...
Project Specification This project aims to build a memory allocation profiling on top of the popula...
Project Specification This project aims to build a memory allocation profiling on top of the popula...
Software written in programming languages that permit manual memory management, such as C and C++, a...
GCspy is an architectural framework for the collection, transmission, storage and replay of memory m...
Modeling the evolution of the state of program memory during program execution is critical to many p...
textThe programming language and underlying hardware determine application performance, and both ar...
textThe programming language and underlying hardware determine application performance, and both ar...
Heap exploits are one of the most advanced, complex and frequent types of attack. Over the years, ma...
Most application’s performance is impacted by the amount of available memory. In a traditional appli...
Prompted by claims that garbage collection can outperform stack allocation when sufficient physical ...
Our objective is to propose methods for resource-aware compilation inspired by the implicit complexi...