Over the past decade there has been a surge of academic and industrial interest in
optimistic concurrency, ie the speculative parallel execution of code regions that have the …

This paper explores data speculation for improving the performance of Hardware
Transactional Memory (HTM). We attempt to reduce transactional conflicts by decoupling …

Parallel programming is receiving renewed attention with the advent of multi-core CPU
architectures. The Transactional Memory (TM) paradigm has the potential to provide good …

Speculative multithreading (SpMT), also known as thread level speculation (TLS), is a
dynamic parallelization technique that relies on out-of-order execution, dependence …

Two main problems prevent a parallel garbage collection (GC) scheme with lock-based
synchronization from providing a high level of scalability: the load imbalance and the …

Scaling processor performance with future technology nodes is essential to enable future
applications for devices ranging from smart-phones to servers. But the traditional methods of …

Multicores are nowadays at the heart of almost every computational system, from the
smartphone in our pocket, to the server-class machines in datacenters that provide us with a …

Data speculation technique has been heavily exploited in various scenarios of architecture
design. It bridges the time or space gap between data producer and data consumer, which …

The stride value predictor is a technology that eases the data dependency, a factor
restricting program parallelism. This mechanism predicts the values that the instruction …

En el último lustro hemos sido testigos de un punto de inflexión fundamental en la historia
de la computación. Durante las últimas cuatro décadas, los avances en la escala de …