An asymmetric distributed shared memory model for heterogeneous parallel systems
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Cita com:
hdl:2117/8032
Tipus de documentText en actes de congrés
Data publicació2010
Condicions d'accésAccés obert
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Abstract
Heterogeneous computing combines general purpose CPUs with
accelerators to efficiently execute both sequential control-intensive
and data-parallel phases of applications. Existing programming
models for heterogeneous computing rely on programmers to
explicitly manage data transfers between the CPU system memory
and accelerator memory.
This paper presents a new programming model for heterogeneous
computing, called Asymmetric Distributed Shared Memory
(ADSM), that maintains a shared logical memory space for CPUs
to access objects in the accelerator physical memory but not vice
versa. The asymmetry allows light-weight implementations that
avoid common pitfalls of symmetrical distributed shared memory
systems. ADSM allows programmers to assign data objects to performance
critical methods. When a method is selected for accelerator
execution, its associated data objects are allocated within the
shared logical memory space, which is hosted in the accelerator
physical memory and transparently accessible by the methods executed
on CPUs.
We argue that ADSM reduces programming efforts for heterogeneous
computing systems and enhances application portability.
We present a software implementation of ADSM, called GMAC,
on top of CUDA in a GNU/Linux environment. We show that applications
written in ADSM and running on top of GMAC achieve
performance comparable to their counterparts using programmermanaged
data transfers. This paper presents the GMAC system and
evaluates different design choices.We further suggest additional architectural
support that will likely allow GMAC to achieve higher
application performance than the current CUDA model.
CitacióGelado, I. [et al.]. An asymmetric distributed shared memory model for heterogeneous parallel systems. A: International Conference on Architectural Support for Programming Languages and Operating Systems. "15th International Conference on Architectural Support for Programming Languages and Operating Systems". 2010, p. 347-358.
ISBN978-1-60558-839-1
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