Virtual Machine Support for Many-Core Architectures: Decoupling Abstract from Concrete Concurrency Models

The upcoming many-core architectures require software developers to exploit concurrency to utilize available computational power. Today's high-level language virtual machines (VMs), which are a cornerstone of software development, do not provide sufficient abstraction for concurrency concepts. We analyze concrete and abstract concurrency models and identify the challenges they impose for VMs. To provide sufficient concurrency support in VMs, we propose to integrate concurrency operations into VM instruction sets. Since there will always be VMs optimized for special purposes, our goal is to develop a methodology to design instruction sets with concurrency support. Therefore, we also propose a list of trade-offs that have to be investigated to advise the design of such instruction sets. As a first experiment, we implemented one instruction set extension for shared memory and one for non-shared memory concurrency. From our experimental results, we derived a list of requirements for a full-grown experimental environment for further research

The economics of garbage collection

This paper argues that economic theory can improve our understanding of memory management. We introduce the allocation curve, as an analogue of the demand curve from microeconomics. An allocation curve for a program characterises how the amount of garbage collection activity required during its execution varies in relation to the heap size associated with that program. The standard treatment of microeconomic demand curves (shifts and elasticity) can be applied directly and intuitively to our new allocation curves. As an application of this new theory, we show how allocation elasticity can be used to control the heap growth rate for variable sized heaps in Jikes RVM

Deploying active objects onto multicore

The performance of a program on multicore platform crucially depends on the scheduling of its tasks; existing high-level programming languages, however, offer limited control over scheduling. In this thesis, we develop Cacoj as an extensible tool set to transform Creol’s active concurrent objects into Java to be deployed on multicore through standard Java Runtime Environment. The concurrent object paradigm is a promising trend for multicore programming because each object may conceptually encapsulate a processor. Cacoj introduces a higher-level abstraction of concurrency API and a Creol compiler in which the translated object in Java takes control over the scheduling of the incoming messages through a per-object approach in contrast with current mainstream trend. Cacoj brings about the required grounds to extend Creol syntax to additionally specify different levels of priority and integrate them into the notion of active concurrent objects