KMITL
Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1
Browse
2 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization of multithread for long digit multiplier: By using ancient India Vedic mathematic(2017-11-03) ;Thongbai, NopphagawTuwanuti, PanwitAny processor's performance is dependent on three important factor speed, area and power. The better tread-off between factors, an effective once. Multiplier are common used in computation process. In this paper, the proposed multiplier by design based on the sutra 'Urdhva Tiryakbhyam and Nikhilam' of Vedic are analyzed and the performance results of multiplier are compare with conventional multipliers and karatsuba once of the most popular. In conclusion of experiment Vedic mathematics can be improvement computation effective. Specifically, in accurate computation, in many digit mathematics or very long digit, that want power of computation. By helping of special opcode instruction that bundle in processor such as SSE, AVX and etc. in modern processor to increment parallel process level in single core by SIMD and vector register. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of vedic multiplier technique on multicore processor(2015-01-26) ;Tuwanuti, PanwitThongbai, NopphagawThis article describes about the mathematic parallel process idea by using Vedic Multiplier techniques. Vedic mathematics is an ancient India that one type of quick trick for calculating that most popular and worldwide acceptation in tutor school. Vedic can apply to use in information technology, science field. They have many researches that used apply Vedic mathematics to accelerate effective of computation. In this paper using Urdhva Tiyakbhyam Sutra and Nikhilam Sutra with both to implement on Multi core processing with MPICH2 (MPI protocol). Urdhva Tiyakbhyam Sutra uses to splitting long digits to sub block for distributing to some other core. Nikhilam Sutra is used for reduce value to improve some of computation effectively.
