Proceedings. 9th Annual Workshop on Interaction between Compilers and Computer Architectures

2005 ◽  
Keyword(s):  
Computer Architectures

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

Design team composition for high level language computer architectures

1978 ◽  
Vol 6 (8) ◽  
pp. 20-22
Author(s):  
Lyle A. Cox ◽  
James R. McGraw ◽  
Charles S. Wetherell
Keyword(s):  
Computer Architectures ◽  
Design Team ◽  
Team Composition ◽  
High Level Language ◽  
High Level

X-Centric: A Survey on Compute-, Memory- and Application-Centric Computer Architectures

2020 ◽  
Author(s):  
Sven Rheindt ◽  
Temur Sabirov ◽  
Oliver Lenke ◽  
Thomas Wild ◽  
Andreas Herkersdorf
Keyword(s):  
Computer Architectures

Evaluation of computer architectures via test programs

1977 ◽  
Author(s):  
Samuel H. Fuller ◽  
Paul Shaman ◽  
David Lamb ◽  
William E. Burr
Keyword(s):  
Computer Architectures

scholarly journals Decoherence dynamics estimation for superconducting gate-model quantum computers

2020 ◽  
Vol 19 (10) ◽  
Author(s):  
Laszlo Gyongyosi
Keyword(s):  
Gaussian Noise ◽  
Quantum Computer ◽  
Computer Architectures ◽  
Quantum Circuits ◽  
Optimal Placement ◽  
Quantum Computers ◽  
Intermediate Scale ◽  
Layout Generation ◽  
Quantum Technology ◽  
Physical Layout

Abstract Superconducting gate-model quantum computer architectures provide an implementable model for practical quantum computations in the NISQ (noisy intermediate scale quantum) technology era. Due to hardware restrictions and decoherence, generating the physical layout of the quantum circuits of a gate-model quantum computer is a challenge. Here, we define a method for layout generation with a decoherence dynamics estimation in superconducting gate-model quantum computers. We propose an algorithm for the optimal placement of the quantum computational blocks of gate-model quantum circuits. We study the effects of capacitance interference on the distribution of the Gaussian noise in the Josephson energy.

scholarly journals Pauli Frames for Quantum Computer Architectures

2017 ◽  
Author(s):  
L. Riesebos ◽  
X. Fu ◽  
S. Varsamopoulos ◽  
C. G. Almudever ◽  
K. Bertels
Keyword(s):  
Quantum Computer ◽  
Computer Architectures
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