At current date the problem of how to build distributed and replicated software transactional
memory (STM) to enhance both dependability and performance is still largely unexplored …

NoSQL cloud data stores provide scalability and high availability properties for web
applications, but at the same time they sacrifice data consistency. However, many …

Computational steering allows researchers to monitor and manage long running, resource
intensive applications at runtime. Limited research has addressed high performance …

Automatic parallelization for clusters is a promising alternative to time-consuming, error-
prone manual parallelization. However, automatic parallelization is frequently limited by the …

We present HyFlow---a distributed software transactional memory (D-STM) framework for
distributed concurrency control. HyFlow is a Java framework for D-STM, with pluggable …

One of the main challenges to harness the potential of Cloud computing is the design of
programming models that simplify the development of large-scale parallel applications and …

We propose a novel algorithm for hybrid transactional replication (HTR) of highly
dependable services. It combines two schemes: a transaction is executed either …

We consider the problem of implementing transactional memory in large-scale distributed
networked systems. We present Spiral, a novel distributed directory-based protocol for …

Software transactional memory (STM) algorithms often rely on centralized components to
achieve atomicity, isolation and consistency. In a distributed setting, centralized components …

Transactional memory is an appealing paradigm for concurrent programming. Many
software implementations of the paradigm were proposed in the last decades for both …