JPS60215279A - Molecule movement simulator - Google Patents

Molecule movement simulator

Info

Publication number
JPS60215279A
JPS60215279A JP59071437A JP7143784A JPS60215279A JP S60215279 A JPS60215279 A JP S60215279A JP 59071437 A JP59071437 A JP 59071437A JP 7143784 A JP7143784 A JP 7143784A JP S60215279 A JPS60215279 A JP S60215279A
Authority
JP
Japan
Prior art keywords
molecules
vector
value
processing
constitution
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP59071437A
Other languages
Japanese (ja)
Other versions
JPH031701B2 (en
Inventor
Masuhiro Mikami
三上 益弘
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujitsu Ltd
Original Assignee
Fujitsu Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fujitsu Ltd filed Critical Fujitsu Ltd
Priority to JP59071437A priority Critical patent/JPS60215279A/en
Publication of JPS60215279A publication Critical patent/JPS60215279A/en
Publication of JPH031701B2 publication Critical patent/JPH031701B2/ja
Granted legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Abstract

PURPOSE:To increase the processing speed by carrying out the multiplication and addition/subtraction to decide whether a molecule exists at a place near a boundary as well as to perform the correction processing and therefore making use of the so-called pipeline processing of a vector processor. CONSTITUTION:A control part 10 sets the constants on a memory 11 to prescribe the length of a side of a cube of an area to be simulated, the total number of molecules within an area and other simulation conditions and also displays the positions of molecules. The initial value is prepared for an array of three-dimensional coordinate data, etc. and a command is given to a vector processor 12 for arithmetic. The vector arithmetic speed of the processor 12 is increased mainly with a constitution where the desired data can be supplied continuously to an arithmetic part 14 with high-speed transfer of blocks between the memory 11 and a vector register 13 and a constitution where the multiplication, division and addition/subtraction mechanisms which can be actuated in parallel to each other are provided independently within the part 14 and these mechanisms can be started simultaneously in a so-called pipeline system.

Description

【発明の詳細な説明】 [a)発明の技術分野 本発明は電子計算機の応用に係り、特に電子計算機によ
る計算によって物質分子の動態をめるための分子動態シ
ミュレータに関する。
DETAILED DESCRIPTION OF THE INVENTION [a) Technical Field of the Invention The present invention relates to the application of electronic computers, and more particularly to a molecular dynamics simulator for determining the dynamics of material molecules through calculations by an electronic computer.

(b)技術の背景 分子動態のシミュレーションには各種の技法がある。例
えばモンテカルロ法は熱力学的に分子の動態を計算する
手法であって、分子の動態探究に使用されている。
(b) Background of the technology There are various techniques for simulating molecular dynamics. For example, the Monte Carlo method is a method for thermodynamically calculating the dynamics of molecules, and is used to explore the dynamics of molecules.

分子動力学法は物質を構成する分子相互間に作用する力
の計算に基づいて、分子の動態をめる手法であって、液
体等の熱力学的性質、輸送係数等を分子レベルで解明す
るためのシミュレーション技法として有効とされ、最近
はいわゆるバイオテクノロジー分野における生体高分子
構造の解明等に使用されようとしている。
Molecular dynamics method is a method to study the dynamics of molecules based on the calculation of the forces that act between the molecules that make up a substance, and it elucidates the thermodynamic properties of liquids, transport coefficients, etc. at the molecular level. It is said to be effective as a simulation technique for biotechnology, and recently it is being used to elucidate the structure of biological macromolecules in the so-called biotechnology field.

(C)従来技術と問題点 それらの手法はすべての分子の各々の位置を計算により
めるので、対象とする分子の個数が増加すると急速に所
要計算量が増大する。
(C) Prior Art and Problems Since these methods determine the positions of all molecules by calculation, the amount of calculation required increases rapidly as the number of target molecules increases.

例えば分子動力学法の場合に、分子の数を500個程度
に制限した場合でも、現在の汎用高速計算機では数時間
を要する計算になるが、実用的な成果を得ることのでき
るシミュレーションとしては少なくとも数十個の分子を
対象にす纂必要があるとされている。
For example, in the case of the molecular dynamics method, even if the number of molecules is limited to about 500, the calculation will take several hours on current general-purpose high-speed computers, but it is at least suitable for simulations that can obtain practical results. It is said that it is necessary to compile the results for several dozen molecules.

近年、科学技術計算を高速に処理する専用計算機として
、ベクトル演算の高速処理を行うことのできる計算機(
ベクトルプロセッサ)が実用されるようになり、適当な
ベクトルプロセッサを使用すれば、汎用計算機の数倍の
処理速度で本シミュレーションを実行できる。しかし、
十分な個数の分子を含む系のシミュレーションを行うた
めに、一層の高速化が望まれていた。
In recent years, computers that can perform high-speed vector calculations have been developed as dedicated computers that process scientific and technical calculations at high speed.
(vector processors) have come into practical use, and by using a suitable vector processor, this simulation can be executed at several times the processing speed of a general-purpose computer. but,
In order to perform simulations of systems containing a sufficient number of molecules, even higher speeds have been desired.

(d)発明の目的 本発明の目的は、分子動態のシミュレーションを従来よ
り更に高速に処理できる分子動態シミュレータを提供す
るにある。
(d) Object of the Invention An object of the present invention is to provide a molecular dynamics simulator that can process molecular dynamics simulations faster than conventional ones.

(e)発明の構成 この目的は、物質分子の動態を計算するに際し、複数の
変数値の保持手段、境界値の保持手段、補正値の保持手
段、該境界値の逆数と変数値との積の整数部を制御値と
して出力する第1の演算手段、及び該制御値と上記補正
値との積を上記変数値から減する第2の演算手段を有し
、上記変数の1について第1の演算手段により得られた
制御値を使用する該変数に対する第2の演算手段の演算
と、他の変数についての第1の演算手段の演算とを並行
に実行するよう構成されてなる、本発明の分子動態シミ
ュレータによって達成される。
(e) Structure of the Invention The purpose of this invention is to provide means for holding a plurality of variable values, a means for holding boundary values, a means for holding correction values, and a product of the reciprocal of the boundary value and the variable value when calculating the dynamics of material molecules. a first calculation means for outputting the integer part of the control value as a control value, and a second calculation means for subtracting the product of the control value and the correction value from the variable value, According to the present invention, the calculation of the second calculation means for the variable using the control value obtained by the calculation means and the calculation of the first calculation means for other variables are executed in parallel. Achieved by a molecular dynamics simulator.

即ち、分子動態のシミュレーションは一定の有@領域を
設定し、その領域中に存在する分子について一定の法則
に基づいてその位置を計算して、その動態を追うもので
あるが、その領域の境界近くにある分子について領域外
の分子の影響を考慮した補正を行う必要がある。
In other words, a molecular dynamics simulation involves setting a certain region, calculating the positions of molecules existing in that region based on certain laws, and tracking their dynamics. It is necessary to make corrections for nearby molecules that take into account the influence of molecules outside the area.

その為に、分子が境界近傍にあるかの判定を行い、境界
近傍にあると判定された分子に関する計算について補正
することになるが、この判定及び補正処理を上記本発明
の構成によって乗算と加減算で構成する。これによりベ
クトルプロセッサのいわゆるパイプライン処理を活用可
能となるので、シミュレーション計算の内の大きな部分
を占める処理を高速化することができ、シミュレーショ
ン高速化の目的を達成することができる。
For this purpose, it is determined whether the molecule is near the boundary, and the calculations regarding the molecule determined to be near the boundary are corrected, but this judgment and correction processing is performed by multiplication, addition, subtraction, etc. using the configuration of the present invention described above. Consists of. This makes it possible to utilize the so-called pipeline processing of the vector processor, so it is possible to speed up the processing that occupies a large portion of the simulation calculations, and it is possible to achieve the purpose of speeding up the simulation.

(f)発明の実施例 第1図は本発明実施例のシステム構成図である。(f) Examples of the invention FIG. 1 is a system configuration diagram of an embodiment of the present invention.

例えば汎用計算機で構成する制御部10は記憶装置11
上にシミュレーションの対象MMi立方体の一辺の長さ
、領域内の分子の総数、及びその他のシミュレーション
条件を規定する常数類を設定し、又分子の位置を表示す
る3次元座標データの配列等の初期値を準備してベクト
ルプロセッサ12に演算を指令する。
For example, the control unit 10 configured with a general-purpose computer has a storage device 11
Above, constants that define the length of one side of the MMi cube to be simulated, the total number of molecules in the region, and other simulation conditions are set, and initial settings such as the array of three-dimensional coordinate data that displays the positions of molecules are set. Prepare the values and instruct the vector processor 12 to perform calculations.

ベクトルプロセッサ12はベクトルレジスタ13と演算
部14等からなり、記憶装置11上の所要部分のデータ
ブロックをベクトルレジスタ13に高速転送し、そのデ
ータについて所定の演算を実行してその結果をベクトル
レジスタ13を経て記憶装置11へ格納する処理を連続
的に実行することにより、ベクトル演算を高速に処理す
る構成を有する。
The vector processor 12 consists of a vector register 13, an arithmetic unit 14, etc., and transfers a required portion of data blocks on the storage device 11 to the vector register 13 at high speed, performs a predetermined operation on the data, and stores the result in the vector register 13. It has a configuration in which vector calculations can be processed at high speed by continuously executing the process of storing the data in the storage device 11 through the process.

このベクトルプロセッサ12におけるベクトル演算の高
速性は、主として上記の記憶装置11とベクトルレジス
タ13間の高速ブロック転送により、演算部14へ所要
のデータを連続的に供給可能とする構成と、演算部14
内に独立に並行動作可能な構成の乗算機構、除算機構、
加減算機構等を設けて、いわゆるパイプライン方式で各
演算機構を同時に動作することを可能にする構成による
The high speed of vector calculations in the vector processor 12 is mainly due to the configuration that allows necessary data to be continuously supplied to the calculation unit 14 through high-speed block transfer between the storage device 11 and the vector register 13, and the calculation unit 14.
A multiplication mechanism, a division mechanism that can operate independently and in parallel,
The configuration is such that addition/subtraction mechanisms and the like are provided to allow each arithmetic mechanism to operate simultaneously in a so-called pipeline system.

一般にベクトル演算は乗算とその結果の累積加算により
構成される演算等が多いので、この機構を活用すれば高
速化することができる。
In general, many vector operations are composed of multiplication and cumulative addition of the results, so the speed can be increased by utilizing this mechanism.

次ぎに、分子動力学法によるシミュレーションを例とし
て、領域境界近傍の分子についての、領域外分子を考慮
した補正について述べる。この補正は、2分子間の力を
めるための分子間距離を補正して以後の計算に使用する
ことにより、間接に力を補正する手法がとられる。
Next, using a simulation based on the molecular dynamics method as an example, we will describe correction for molecules near the region boundary taking into account molecules outside the region. This correction takes a method of indirectly correcting the force by correcting the intermolecular distance for calculating the force between two molecules and using it in subsequent calculations.

第2図は分子1及び2間の距離3を上記の目的で補正す
る方式の概念を説明する図である。図において、4はシ
ミュレーション対象の領域である1辺がAHx2の長さ
の立方体を示す。AHは後述のように境界値として使用
される。
FIG. 2 is a diagram explaining the concept of a method for correcting the distance 3 between molecules 1 and 2 for the above purpose. In the figure, 4 indicates a cube with one side having a length of AHx2, which is the area to be simulated. AH is used as a boundary value as described below.

分子1を現に問題とする分子とし、分子2からの力を計
算する為に、分子間の距離をめるとする。こ−で、分子
1が領域4の境界に近く位置するときは距離を補正する
ものとする。
Assume that molecule 1 is the molecule of interest, and in order to calculate the force from molecule 2, the distance between the molecules is determined. Here, when molecule 1 is located close to the boundary of region 4, the distance is corrected.

補正の方式は次の通りである。例えば両分手間の距離の
X成分A(1)がAIより′大きい場合に分子1は境界
近傍にあるとし、この場合にはA(1)から補正値AL
(=AHX2)を引いたA”(1)を距離のX成分とす
る。この操作は、Y成分A(2)、2成分A(3)につ
いてもAHを越えていれば同様に実施する。
The correction method is as follows. For example, if the X component A(1) of the distance between the two parts is greater than AI, molecule 1 is considered to be near the boundary, and in this case, the correction value AL is calculated from A(1).
A'' (1) obtained by subtracting (=AH

図はX成分のみがAIを越えていた場合の例で、補正の
結果分子2に代えて、図に5で示す位置にあると仮定し
た分子を、この場合の分子1に作用する力の計算に使用
する。
The figure shows an example where only the X component exceeds AI, and as a result of correction, instead of molecule 2, a molecule assumed to be at the position indicated by 5 in the figure is used to calculate the force acting on molecule 1 in this case. used for.

以上の処理を従来のプログラミングによった場合の処理
の流れを第3図に示す。ステップ20で所要の変数の初
期設定をする。ステップ21と32に挟まれる部分は領
域内の分子すべてについて、順次1分子づつ処理するた
めの処理の繰り返しを構成しく処理中の分子のデータは
添字Iで指定される)、この処理により各分子ごとに、
それに作用する力の総和が得られた後、!分子の折位置
座標をめる処理(図示せず)に進む。
FIG. 3 shows the flow of processing when the above processing is performed by conventional programming. In step 20, necessary variables are initialized. The part sandwiched between steps 21 and 32 consists of repeating the process to sequentially process one molecule at a time for all molecules in the region (data of the molecule being processed is specified by the subscript I), and by this process, each molecule For each
After the sum of the forces acting on it is obtained! The process proceeds to a process (not shown) for determining the fold position coordinates of the molecule.

ステップ22と30に挟まれる部分は、1分子と領域内
の他のすべての分子(添字Jに対応する)との距離をめ
るための繰り返し処理を構成し、ステップ23と29に
挟まれる部分は1対の分子間の距離の計算を座標軸X、
Y、Zの3成分別に処理する繰り返しである。
The part between steps 22 and 30 constitutes an iterative process to increase the distance between one molecule and all other molecules in the region (corresponding to subscript J), and the part between steps 23 and 29 calculates the distance between a pair of molecules using the coordinate axis X,
This is a repetition of processing separately for the three components Y and Z.

ステップ31は1対の分子間の距離に基づいて力をめて
累積する処理部分である。
Step 31 is a processing portion that consolidates and accumulates data based on the distance between a pair of molecules.

ステップ24は記憶装置11からベクトルレジスタ13
に転送した分子の位置座標の差によって、2分子間の距
離の各座標軸成分をめるステップで、添字変数には1.
2.3がX、Y、Z軸に対応し、A (K)は距離の各
成分、QN(1,K) 、IIN(J、)[)は分子の
位置座標である。
Step 24 is to transfer data from the storage device 11 to the vector register 13.
In this step, each coordinate axis component of the distance between two molecules is calculated based on the difference in the positional coordinates of the molecules transferred to the subscript variable.
2.3 corresponds to the X, Y, and Z axes, A (K) is each component of the distance, and QN (1, K) and IIN (J,) [) are the position coordinates of the molecule.

ステップ25乃至28で構成される部分は、前記の第2
図により説明した距離補正処理に相当する。
The part consisting of steps 25 to 28 is the second
This corresponds to the distance correction process explained with the figures.

こ\で、ステップ25及びステップ27は・2分子の位
置座標の差としてめた距離の絶対値がAHを越えている
かを検査する処理であり、その判定に従って、ステップ
24でめたA (K)の値をそのま\使うか(経路33
) 、A(K)に領域の辺長AHx2に相当する補正値
ALを加減する(ステップ26.28)。
Here, steps 25 and 27 are processes for checking whether the absolute value of the distance determined as the difference between the position coordinates of two molecules exceeds AH, and according to the determination, A (K ) value as is (route 33
), a correction value AL corresponding to the side length AHx2 of the area is added to or subtracted from A(K) (step 26.28).

以上のステップ24乃至28の演算は加減算及び結果の
正負判定からなる為、前記の構成のベクトルプロセッサ
ではそれらを直列に処理するほか無く、この部分におい
ては前記のようなベクトルプロセッサの構成を活用する
ことができない。
Since the operations in steps 24 to 28 above consist of addition and subtraction and determining whether the results are positive or negative, the vector processor with the above configuration has no choice but to process them serially, and in this part, the configuration of the vector processor as described above is utilized. I can't.

本発明の構成における処理の流れを第4図に示す。図は
第3図のステップ23からステップ29までの部分に相
当する。
FIG. 4 shows the flow of processing in the configuration of the present invention. The figure corresponds to the portion from step 23 to step 29 in FIG.

第4図において、ステップ23.24.29は第3図と
同じである。ステップ24に続くステ・ノブ40は、実
数演算によるA (K)とRAHの積をめ、その整数部
を整数の制御値IKとする処理である。こ\で、RAH
はAHの逆数として、予めめられているものとする。
In FIG. 4, steps 23, 24, and 29 are the same as in FIG. The step knob 40 following step 24 is a process of multiplying A (K) and RAH by real number calculation and setting the integer part as an integer control value IK. Here, RAH
It is assumed that AH is the reciprocal of AH and is determined in advance.

前記第2図による説明から明らかなように、ステップ4
0の演算の結果の制御値IKは、A (K)がAHより
大きいか、AHから−AHまでの間にあるか、−AHよ
り小さいかにより、1.0又は−1となる。従って、ス
テップ41において、補正値ALと制御値IKの積を^
(K)から減じれば、第3図の場合と同じ補正をA (
K)に与えることになる。
As is clear from the explanation with reference to FIG. 2, step 4
The control value IK as a result of the calculation of 0 is 1.0 or -1 depending on whether A (K) is larger than AH, between AH and -AH, or smaller than -AH. Therefore, in step 41, the product of the correction value AL and the control value IK is
(K), the same correction as in Fig. 3 is obtained by subtracting it from A (
K).

第4図の処理の流れによれば、ステップ24からステッ
プ41までの流れは乗算と加減算を含み、判 一定によ
る分岐を要しないので、前記のような構成のベクトルプ
ロセッサのパイプライン方式を有効に利用することが可
能になる。
According to the processing flow in FIG. 4, the flow from step 24 to step 41 includes multiplication, addition and subtraction, and does not require branching due to constant judgment, so the pipeline system of the vector processor configured as described above is effective. It becomes possible to use it.

以上の説明は分子動力学法によるシミュレーションを例
として説明したが、本発明はこれに限るものではない。
Although the above explanation has been made using a simulation based on the molecular dynamics method as an example, the present invention is not limited to this.

例えばモンテカルロ法によるシミュレーションにおいて
も、当業者は上記説明から容易に本発明を実施すること
ができる。
For example, those skilled in the art can easily implement the present invention based on the above description even in simulations using the Monte Carlo method.

又、上記説明は3次元のシミュレーションを例として説
明したが、2次元のシミュレーションにおい°ても同様
に本発明を適用できることは明らかである。
Further, although the above description has been made using a three-dimensional simulation as an example, it is clear that the present invention can be similarly applied to a two-dimensional simulation.

(酌発明の効果 以上の説明から明らかなように本発明によれば、分子動
態のシミュレーションを高速化することにより、該シミ
ュレーションの実用可能な応用分野を拡大するという著
しい工業的効果がある。
(Effects of the Invention As is clear from the above explanation, the present invention has a remarkable industrial effect of increasing the practical application field of the simulation by speeding up the simulation of molecular dynamics.

【図面の簡単な説明】[Brief explanation of drawings]

第1図は本発明の一実施例構成図、 第2図は境界近傍分子に関する補正の説明図、第3図は
従来例の処理の流れ図、 第4図は本発明一実施例の処理の流れ図である。 図において、 1.2.5は分子、 4はシミュレーション領域、 10は制御部、 11は記憶装置、 12はベクトルプロセッサ、 13はベクトルレジスタ、 14は演算部、 20〜4工は処理の各ステップ又は経路を示す。 茅 1 目 茶 2 囚 ? 第 3 同 茅 4 図
Fig. 1 is a configuration diagram of an embodiment of the present invention, Fig. 2 is an explanatory diagram of correction regarding molecules near the boundary, Fig. 3 is a flowchart of processing in a conventional example, and Fig. 4 is a flowchart of processing in an embodiment of the present invention. It is. In the figure, 1.2.5 is a molecule, 4 is a simulation area, 10 is a control unit, 11 is a storage device, 12 is a vector processor, 13 is a vector register, 14 is an arithmetic unit, 20 to 4 are each processing step Or show the route. Kaya 1 Mecha 2 Prisoner? No. 3 Domo 4 Figure

Claims (1)

【特許請求の範囲】[Claims] 物質分子の動態を計算するに際し、複数の変数値の保持
手段、境界値の保持手段、補正値の保持手段、該境界値
の逆数と変数値との積の整数部を制御値として出力する
第1の演算手段、及び該制御値と上記補正値との積を上
記変数値から減する第2の演算手段を有し、上記変数の
1について第1の演算手段により得られた制御値を使用
する該変数に対する第2の演算手段の演算と、他の変数
についての第1の演算手段の演・算とを並行に実行する
よう構成されてなることを特徴とする分子動態シミュレ
ータ。
When calculating the dynamics of material molecules, there is a means for holding a plurality of variable values, a means for holding a boundary value, a means for holding a correction value, a means for holding a correction value, and a third means for outputting the integer part of the product of the reciprocal of the boundary value and the variable value as a control value. 1 calculation means, and a second calculation means for subtracting the product of the control value and the correction value from the variable value, and using the control value obtained by the first calculation means for the variable 1. 1. A molecular dynamics simulator characterized in that the second calculation means performs calculations on the variable and the first calculation means performs calculations on other variables in parallel.
JP59071437A 1984-04-10 1984-04-10 Molecule movement simulator Granted JPS60215279A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP59071437A JPS60215279A (en) 1984-04-10 1984-04-10 Molecule movement simulator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP59071437A JPS60215279A (en) 1984-04-10 1984-04-10 Molecule movement simulator

Publications (2)

Publication Number Publication Date
JPS60215279A true JPS60215279A (en) 1985-10-28
JPH031701B2 JPH031701B2 (en) 1991-01-11

Family

ID=13460510

Family Applications (1)

Application Number Title Priority Date Filing Date
JP59071437A Granted JPS60215279A (en) 1984-04-10 1984-04-10 Molecule movement simulator

Country Status (1)

Country Link
JP (1) JPS60215279A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS62259102A (en) * 1986-05-02 1987-11-11 Mitsubishi Electric Corp Computer system for process control
WO2008041304A1 (en) * 2006-09-29 2008-04-10 Fujitsu Limited Method of assigning molecular force field, apparatus for assigning molecular force field and program for assigning molecular force field

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS62259102A (en) * 1986-05-02 1987-11-11 Mitsubishi Electric Corp Computer system for process control
WO2008041304A1 (en) * 2006-09-29 2008-04-10 Fujitsu Limited Method of assigning molecular force field, apparatus for assigning molecular force field and program for assigning molecular force field
GB2456080A (en) * 2006-09-29 2009-07-08 Fujitsu Ltd Method of assigning molecular force field,apparatus for assigning molecular force field and program for assigning molecular force field
US7945396B2 (en) 2006-09-29 2011-05-17 Fujitsu Limited Molecular force field assignment method, molecular force field assignment apparatus and molecular force field assignment program

Also Published As

Publication number Publication date
JPH031701B2 (en) 1991-01-11

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