| Program interpolation |
| Full text |
Pdf
(525 KB)
|
Source
|
ACM/SIGPLAN Workshop Partial Evaluation and Semantics-Based Program Manipulation
archive
Proceedings of the 2009 ACM SIGPLAN workshop on Partial evaluation and program manipulation
table of contents
Savannah, GA, USA
SESSION: Static analysis
table of contents
Pages 31-40
Year of Publication: 2009
ISBN:978-1-60558-327-3
|
|
Authors
|
|
Andrew Moss
|
University of Bristol, Bristol, United Kingdom
|
|
Dan Page
|
University of Bristol, Bristol, United Kingdom
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 10, Downloads (12 Months): 69, Citation Count: 0
|
|
|
ABSTRACT
Program interpolation is a new type of transformation that given an input program written in a specially constructed Domain Specific Language (DSL), produces a family of functionally equivalent instruction sequences as output. Each sequence is an "interpolation" between the control-flows of implementation strategies supplied in the input program. The purpose of the transformation is to expose behavioural differences (e.g. performance) within the sequences, and thus allow automated optimisation with respect to architectural trade-offs that are difficult to quantify and model. We present results from a prototype compiler that demonstrate a 63% speedup in the domain of multi-precision integer arithmetic.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
D.J. Bernstein. Multidigit multiplication for mathematicians. Available at: http://cr.yp.to/papers.html#m3
|
| |
2
|
D.J. Bernstein. qhasm: tools to help write high-speed software. Available at: http://cr.yp.to/qhasm.html
|
| |
3
|
F. Bouchez, A. Darte, C. Guillon, and F. Rastello. Register Allocation and Spill Complexity Under SSA. Technical Report 2005-33, ENS-Lyon, Lyon France, 2005.
|
| |
4
|
P. Brisk, F. Dabiri, R. Jafari, and M. Sarrafzadeh. Optimal register sharing for high-level synthesis of SSA form programs. In IEEE Trans. Computer Aided Design, Vol. 25, no. 25, May, 2006, 772--779.
|
| |
5
|
|
| |
6
|
Computational Algebra Group, University of Sydney. Magma Computational Algebra System. Available at: http://magma.maths.usyd.edu.au/magma/
|
| |
7
|
P. Gaudry and E. Thomè. The mp F q Library and Implementing Curve-based Key Exchanges. In Software Performance Enhancement for Encryption and Decryption (SPEED), 49--64, 2007.
|
| |
8
|
N. Gura, A. Patel, A. Wander, H. Eberle, S. Chang Shantz. Comparing Elliptic Curve Cryptography and RSA on 8-bit CPUs. In Cryptographic Hardware and Embedded Systems (CHES), Springer-Verlag LNCS 3156, 119--132, 2004.
|
| |
9
|
|
| |
10
|
|
| |
11
|
Intel Cooperation. Using the RDTSC Instruction for Performance Monitoring. Intel Technical Report, 1997.
|
| |
12
|
A. Karatsuba and Y. Ofman. Multiplication of Many-Digital Numbers by Automatic Computers. In Doklady Akad. Nauk SSSR 145, 293--294, 1962.
|
 |
13
|
|
 |
14
|
|
| |
15
|
|
| |
16
|
A. Moss and H. Muller. Efficient Code Generation for a Domain Specific Language. In Generative Programming and Component Engineering, Springer-Verlag LNCS 3676, 47--62, 2005.
|
| |
17
|
|
 |
18
|
|
| |
19
|
M. Scott and P. Szczechowiak. Optimizing Multiprecision Multiplication for Public Key Cryptography. In Cryptology ePrint Archive, Report 2007/299, 2007.
|
| |
20
|
L. Uhsadel, A. Poschmann and C. Paar. Enabling Full-Size Public-Key Algorithms on 8-Bit Sensor Nodes. In Security and Privacy in Ad-hoc and Sensor Networks (ESAS), Springer-Verlag LNCS 4572, 73--86, 2007.
|
|