Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra   This paper describes REAP, a software-hardware approach that enables high
performance sparse linear algebra computations on a cooperative CPU-FPGA
platform. REAP carefully separates the task of organizing the matrix elements
from the computation phase. It uses the CPU to provide a first-pass
re-organization of the matrix elements, allowing the FPGA to focus on the
computation. We introduce a new intermediate representation that allows the CPU
to communicate the sparse data and the scheduling decisions to the FPGA. The
computation is optimized on the FPGA for effective resource utilization with
pipelining. REAP improves the performance of Sparse General Matrix
Multiplication (SpGEMM) and Sparse Cholesky Factorization by 3.2X and 1.85X
compared to widely used sparse libraries for them on the CPU, respectively.

4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph