Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and Green Computing with Graphics Processing Units for solving
  Sparse Linear Systems   In this paper, we aim to introduce a new perspective when comparing highly
parallelized algorithms on GPU: the energy consumption of the GPU. We give an
analysis of the performance of linear algebra operations, including addition of
vectors, element-wise product, dot product and sparse matrix-vector product, in
order to validate our experimental protocol. We also analyze their uses within
conjugate gradient method for solving the gravity equations on Graphics
Processing Unit (GPU). Cusp library is considered and compared to our own
implementation with a set of real matrices arrising from the Chicxulub crater
and obtained by the finite element discretization of the gravity equations. The
experiments demonstrate the performance and robustness of our implementation in
terms of energy efficiency.

31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph