에 의해 게시 에 의해 게시 Alexey Solovyov
1. The solution is obtained by Gaussian elimination with partial pivoting, with 2/3·N3 + 2·N2 floating point operations.
2. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS).
3. The LINPACK Benchmarks are a measure of a system's floating point computing power.
4. Millions of floating point operations per second.
5. A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands.
6. The relative machine precision usually the smallest positive number such that fl( 1.0 - eps ) < 1.0, where fl denotes the computed value and eps is the relative machine precision.
7. They measure how fast a computer solves a dense N by N system of linear equations Ax = b, which is a common task in engineering.
8. A check is made to show that the computed solution is correct.
9. If this quantity is much larger than 1, the solution is probably incorrect.
10. The Norm Res should be about O(1) in size.
11. eps) where eps is described below.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 Linpack 검색 막대에서 검색을 누릅니다. 클릭 Linpack응용 프로그램 아이콘. 의 창 Linpack Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 Linpack Mac OS의 경우 (Apple)
| 다운로드 | 개발자 | 리뷰 | 평점 |
|---|---|---|---|
| Free Mac OS의 경우 | Alexey Solovyov | 5 | 5.00 |
Linpack Benchmark The LINPACK Benchmarks are a measure of a system's floating point computing power. They measure how fast a computer solves a dense N by N system of linear equations Ax = b, which is a common task in engineering. The solution is obtained by Gaussian elimination with partial pivoting, with 2/3·N3 + 2·N2 floating point operations. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS). Results. Mflop/s: Millions of floating point operations per second. A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands. For this problem there are 2/3 n^3 + n^2 floating point operations. Time: The time in seconds to solve the problem, Ax=b. Norm Res: A check is made to show that the computed solution is correct. The test is based on || Ax - b || / ( || A || || x || eps) where eps is described below. The Norm Res should be about O(1) in size. If this quantity is much larger than 1, the solution is probably incorrect. Precision: The relative machine precision usually the smallest positive number such that fl( 1.0 - eps ) < 1.0, where fl denotes the computed value and eps is the relative machine precision.
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