journal article·1996-09-01

Petaflops computing and computational nanotechnology

Subhash Saini

Nanotechnology· Volume 7· Issue 3
Publisher page

Abstract

One of the biggest challenges in nanotechnology is the need to simulate entire molecular assemblies of up to 100 million atoms or more. This requires about one million to one billion fold more computing power than is available today. For nanotechnology to be successful, it will be essential to develop Petaflops computing systems and associated software. We will survey the various enabling technologies, such as semiconductors, superconducting, photonic, and exotic (quantum integrated circuits, molecular computers, DNA computers) that are expected to be available in the next 20 to 25 years for making Petaflops computing and nanotechnology feasible. It will be shown that progress in nanotechnology and progress in future high-performance computer systems are mutually interdependent.
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Research context

OpenAlex topics: Quantum-Dot Cellular Automata · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (51)

Show source-provided references
1. Feynman R P · Eng. and Sci. · 1960 · 23 · 22
2. Feynman R P · 1961
3. Saini S · 1995
4. Saini S · 1994
5. Bauschlicher C W Jr · Science · 1991 · 254 · 39410.1126/science.254.5030.394 ↗
6. Lii J · J. Am. Chem. Soc. · 1989 · 111 · 856610.1021/ja00205a002 ↗
7. Ponder J W · J. Comput. Chem. · 1987 · 8 · 101610.1002/jcc.540080710 ↗
8. Barnes J · 1986 · 324
9. Fincham D · Molecular Simulation · 1987 · 1 · 110.1080/08927028708080929 ↗
10. Plimpton S · 1993
11. 10.1016/0009-2614(85)80120-210.1016/0009-2614(85)80120-2 ↗
12. 10.1103/PhysRevA.33.5510.1103/PhysRevA.33.55 ↗
13. Grozdanov T P · J. Phys. A: Math. Gen. · 1986 · 19 · 69110.1088/0305-4470/19/5/022 ↗
14. 10.1063/1.45025410.1063/1.450254 ↗
15. 10.1016/0009-2614(86)85102-810.1016/0009-2614(86)85102-8 ↗
16. 10.1103/PhysRevA.36.355610.1103/PhysRevA.36.3556 ↗
17. 10.1016/0009-2614(88)87419-010.1016/0009-2614(88)87419-0 ↗
18. 10.1103/PhysRevA.38.387710.1103/PhysRevA.38.3877 ↗
19. 10.1103/PhysRevA.38.390010.1103/PhysRevA.38.3900 ↗
20. 10.1063/1.46393510.1063/1.463935 ↗
21. Greegard L · J. Comp. Phys. · 1987 · 73 · 32510.1016/0021-9991(87)90140-9 ↗
22. Saini S · 1995
23. Sterling T · 1995
24. Sterling T · 1995
25. Stevens R · 1995
26. Saini S · 1995
27. Dongarra J · 1995 · 21
28. US National Science · 1996
29. 1994
30. Saini S · 1995
31. Drexler K E · 1992
32. Ishida I · 1994
33. Sakakibara H · 1993
34. Kouwenhoven L · Science · 1995 · 268 · 144010.1126/science.268.5216.1440 ↗
35. Birge R · 1995 · 90
36. Saini S · 1995
37. Saini S · 1995
38. Saini S · 1994
39. Saini S · 1994
40. Saini S · 1994
41. Saini S · 1993
42. Service R F · 1995 · 269
43. Parish T · 1990 · 283
44. Hunter S · Applied Optics · 1990 · 29 · 205810.1364/AO.29.002058 ↗
45. Swade D D · Scientific American · 1993 · 268 · 8610.1038/scientificamerican0293-86 ↗
46. Momrose H · IEDM Tech. Dig. · 1994 · 593
47. 10.1116/1.58788610.1116/1.587886 ↗
48. Merkle R C · J. Br. Interplanet. Soc. · 1992 · 45 · 407
49. Merkle R C Design considerations for an assembler · Nanotechnology
50. Merkle R C Binding sites for use in a simple assembler · Nanotechnology
51. Saini S