Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vector In Memory Architecture for simple and high efficiency computing   Data movement is one of the main challenges of contemporary system
architectures. Near-Data Processing (NDP) mitigates this issue by moving
computation closer to the memory, avoiding excessive data movement. Our
proposal, Vector-In-Memory Architecture(VIMA), executes large vector
instructions near 3D-stacked memories using vector functional units and uses a
small data cache to enable short-term data reuse. It provides an easy
programming interface and guarantees precise exceptions. When executing
stream-behaved applications using a single core, VIMA offers a speedup of up to
26x over a CPU system baseline with vector operations in a single-core
processor while spending 93% less energy.

7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph