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Heterogeneous Interconnects for Energy-Efficient Message

Summary: Heterogeneous Interconnects for
Energy-Efficient Message
Management in CMPs
Antonio Flores, Juan L. Arago´n, Member, IEEE Computer Society, and Manuel E. Acacio
Abstract--Continuous improvements in integration scale have made major microprocessor vendors to move to designs that integrate
several processing cores on the same chip. Chip multiprocessors (CMPs) constitute a good alternative to traditional monolithic designs
for several reasons, among others, better levels of performance, scalability, and performance/energy ratio. On the other hand, higher
clock frequencies and the increasing transistor density have revealed power dissipation and temperature as critical design issues in
current and future architectures. Previous studies have shown that the interconnection network of a Chip Multiprocessor (CMP) has
significant impact on both overall performance and energy consumption. Moreover, wires used in such interconnect can be designed
with varying latency, bandwidth, and power characteristics. In this work, we show how messages can be efficiently managed, from the
point of view of both performance and energy, in tiled CMPs using a heterogeneous interconnect. Our proposal consists of two
approaches. The first is Reply Partitioning, a technique that splits replies with data into a short Partial Reply message that carries a
subblock of the cache line that includes the word requested by the processor plus an Ordinary Reply with the full cache line. This
technique allows all messages used to ensure coherence between the L1 caches of a CMP to be classified into two groups: critical and
short, and noncritical and long. The second approach is the use of a heterogeneous interconnection network composed of low-latency
wires for critical messages and low-energy wires for noncritical ones. Detailed simulations of 8 and 16-core CMPs show that our
proposal obtains average savings of 7 percent in execution time and 70 percent in the Energy-Delay squared Product (ED2
P) metric of
the interconnect over previous works (from 24 to 30 percent average ED2


Source: Acacio, Manuel - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia
Aragón Alcaraz, Juan Luis - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia


Collections: Computer Technologies and Information Sciences