Exploiting Heterogeneous Parallelism on Hybrid Metaheuristics for Vector Autoregression Models

Exploiting heterogeneous parallelism with the Heterogeneous Programming Library

While recognition of the advantages of heterogeneous computing is steadily growing, the issues of programmability and portability hinder its exploitation. The introduction of the OpenCL standard was a major step forward in that it provides code portability, but its interface is even more complex than that of other approaches. In this paper we present the Heterogeneous Programming Library (HPL),...

Exploiting Hybrid Parallelism in Web Search Engines

With the emergence of multi-core CPU (or Chip-level MultiProcessor -CMP-), it is essential to develop techniques that capitalize on CMP’s advantages to speed up very demanding applications of parallel computing such as Web search engines. In particular, for this application and given the huge amount of computational resources deployed at data centers, it is of paramount importance to come out w...

Lecture 6 : Vector Autoregression ∗

Exploiting Vector Parallelism in Software Pipelined LoopsTopology Control

An emerging trend in processor design is the incorporation of short vector instructions into the ISA. In fact, vector extensions have appeared in most general-purpose microprocessors. To utilize these instructions, traditional vectorization technology can be used to identify and exploit data parallelism. In contrast, efficient use of a processor’s scalar resources is typically achieved through ...

Evaluating Structural Vector Autoregression Models in Monetary Economies

This paper uses Monte Carlo simulations to evaluate alternative identi…cation strategies in VAR estimation of monetary models, and to assess the accuracy of measuring money instability as a cause of output ‡uctuations. I construct theoretical monetary economies using general equilibrium models with cash-in-advance constraints, which also include technology shocks, labor supply shocks, and monet...