Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable
  Data-Centric Parallel Computing   The next generation HPC and data centers are likely to be reconfigurable and
data-centric due to the trend of hardware specialization and the emergence of
data-driven applications. In this paper, we propose ARENA -- an asynchronous
reconfigurable accelerator ring architecture as a potential scenario on how the
future HPC and data centers will be like. Despite using the coarse-grained
reconfigurable arrays (CGRAs) as the substrate platform, our key contribution
is not only the CGRA-cluster design itself, but also the ensemble of a new
architecture and programming model that enables asynchronous tasking across a
cluster of reconfigurable nodes, so as to bring specialized computation to the
data rather than the reverse. We presume distributed data storage without
asserting any prior knowledge on the data distribution. Hardware specialization
occurs at runtime when a task finds the majority of data it requires are
available at the present node. In other words, we dynamically generate
specialized CGRA accelerators where the data reside. The asynchronous tasking
for bringing computation to data is achieved by circulating the task token,
which describes the data-flow graphs to be executed for a task, among the CGRA
cluster connected by a fast ring network. Evaluations on a set of HPC and
data-driven applications across different domains show that ARENA can provide
better parallel scalability with reduced data movement (53.9%). Compared with
contemporary compute-centric parallel models, ARENA can bring on average 4.37x
speedup. The synthesized CGRAs and their task-dispatchers only occupy 2.93mm^2
chip area under 45nm process technology and can run at 800MHz with on average
759.8mW power consumption. ARENA also supports the concurrent execution of
multi-applications, offering ideal architectural support for future
high-performance parallel computing and data analytics systems.

18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
2
The categories of this paper are: math