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Hardware designers and engineers typically need to explore a multi-parametric design space in order to find the best configuration for their designs using simulations that can take weeks to months to complete. For example, designers of special purpose chips ...
It is important to consider the microstructure of a material when studying the macroscopic mechanical properties. Although special equipments have been used for micromechanics study through experimental tests, it is limited by instruments and reproducibili ...
The parallel implementation of MUPHY, a concurrent multiscale code for large-scale hemodynamic simulations in anatomically realistic geometries, for multi-GPU platforms is presented. Performance tests show excellent results, with a nearly linear parallel s ...
Conventional directory coherence operates at the finest granularity possible, that of a cache block. While simple, this organization fails to exploit frequent application behavior: at any given point in time, large, continuous chunks of memory are often ac ...
Today, the evolution of software solutions for parallel processing is strong, as a consequence of the mainstream introduction of chip-level multiprocessors. These types of parallel processors, which include general-purpose multi-cores and graphical process ...
This thesis is devoted to the design and analysis of algorithms for scheduling problems. These problems are ubiquitous in the modern world. Examples include the optimization of local transportation, managing access to concurrent resources like runways at a ...
Participatory sensing (PS) is becoming a popular data acquisition means for interesting emerging applications. However, as data queries from these applications increase, the sustainability of this platform for multiple concurrent applications is at stake. ...
The recent proliferation of multi-core processors has moved concurrent programming into mainstream by forcing increasingly more programmers to write parallel code. Using traditional concurrency techniques, such as locking, is notoriously difficult and has ...
FlowPools, proposed by are a powerful way to express dataflow logic in highly parallelized applications. The original paper proposes two ways of implementing a FlowPool: Single-Lane FlowPools (SLFP) and Multi-Lane FlowPools (MLFP). While SLFPs showed decen ...
Fine-grain data parallelism is increasingly common in mainstream processors in the form of long vectors and on-chip GPUs. This paper develops compiler and runtime support to exploit such data parallelism for non-numeric, non-graphic, irregular parallel tas ...