Add to ORKGHardware-Assisted garbage collection for Icon guarantees real-time response and consistent performance. This report describes the changes made to Icon\u27s run-time system in porting Icon to the hardware-assisted garbage collection environment and compares the performance of fifty Icon programs using the traditional and hardware-assisted garbage collection implementations. Throughput for the hardware-assisted system ranges from 45% slower to 28% faster than the traditional system. Suggestions for improving the performance of the hardware-assisted implementation are also discussed
As part of the Renaissance project at Purdue University, we are investigating the feasibility of gar...
Language support of dynamic storage management simplifies the application programming task immensely...
As the development of hardware progresses, computers are expected to solve increasingly complex prob...
There are many optimizations that can be applied while translating Icon programs. These optimization...
This paper introduces the Icon programming language in a simplified form using a lisp-like syntax to...
High-level programming language features simplify software development by eliminating many low-level...
An efficient means of memory reclamation (also known as Garbage Collection) is essential for Machine...
Hardware-assisted garbage collection combines the potential of high average-case allocation rates an...
An increasing number of workloads are moving to cloud data centers, including large-scale machine le...
Generators and goal-directed evaluation provide a rich programming paradigm when combined with tradi...
Hardware-assisted garbage collection offers the potential of high average-case allocation rates and ...
We describe a memory management toolkit for language implementors. It offers efficient and flexible ...
Leading experts have declared that there is an impending golden age of computer architecture. During...
This dissertation proposes a new garbage-collected memory module architecture for hard real-time sys...
Program execution monitors are used to improve human beings' understanding of program run-time behav...
As part of the Renaissance project at Purdue University, we are investigating the feasibility of gar...
Language support of dynamic storage management simplifies the application programming task immensely...
As the development of hardware progresses, computers are expected to solve increasingly complex prob...
There are many optimizations that can be applied while translating Icon programs. These optimization...
This paper introduces the Icon programming language in a simplified form using a lisp-like syntax to...
High-level programming language features simplify software development by eliminating many low-level...
An efficient means of memory reclamation (also known as Garbage Collection) is essential for Machine...
Hardware-assisted garbage collection combines the potential of high average-case allocation rates an...
An increasing number of workloads are moving to cloud data centers, including large-scale machine le...
Generators and goal-directed evaluation provide a rich programming paradigm when combined with tradi...
Hardware-assisted garbage collection offers the potential of high average-case allocation rates and ...
We describe a memory management toolkit for language implementors. It offers efficient and flexible ...
Leading experts have declared that there is an impending golden age of computer architecture. During...
This dissertation proposes a new garbage-collected memory module architecture for hard real-time sys...
Program execution monitors are used to improve human beings' understanding of program run-time behav...
As part of the Renaissance project at Purdue University, we are investigating the feasibility of gar...
Language support of dynamic storage management simplifies the application programming task immensely...
As the development of hardware progresses, computers are expected to solve increasingly complex prob...