<i>ACORN</i>
            : APL to C on real numbers

Bernecky, Robert; Brenner, Charles; Jaffe, Stephen B.; Moeckel, George P.

doi:10.1145/97808.97821

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…A number of APL compiler implementation works [1,2,3,4,5,6,7] have been reported at this Conference over the years. The primary goal of APL compilation is to improve the execution efficiency of APL programs under interpretation.…”

Section: Introductionmentioning

confidence: 99%

“…The APL/C compiler generates C source code instead of assembly code for any particular machine. But unlike other APL compilers [4,5,6,8], which also translate APL into a highlevel language, our generated C code has embedded parallel constructs to interface with the Mach operating system to create multiple processes for concurrent execution. In addition to generating parallel code, the APL/C compiler can also attempt to optimize the produced code.…”

Section: Introductionmentioning

confidence: 99%

“…People used to believe that a heap scheme should outperform a system call scheme [6]. In a system call implementation, the compiler can use system calls malloc and free to allocate and deallocate space dynamically with the aid of the operating system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On performance and space usage improvements for parallelized compiled APL code

Ching²,

1991

Proceedings of the International Conference on APL '91

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Loop combination has been a traditional optimization technique employed in APL compilers, but may introduce dependencies into the combined loop. We propose an analysis method by which the compiler can keep track of the change of the parallelism when combining high-level primitives.The analysis is necessary when the compiler needs to decide a trade-off between more parallelism and a further combination.We also show how the space usage, as well as the performance, improves by using system calls with the aid of garbage collection to implement a dynamic memory allocation. A modification of the memory management scheme can also increase available parallelism,Our experimental results indicate that the performance and the space usage improve appreciably with the above enhancements.On Performance and Space 234 APL 91

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On performance and space usage improvements for parallelized compiled APL code

Ching²,

1991

Proceedings of the International Conference on APL '91

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On performance and space usage improvements for parallelized compiled APL code

JuDz-ching

ChingWai-Mee²,

WuChuan-lin

1991

SIGAPL APL Quote Quad

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Loop combination has been a traditional optimization technique employed in APL compilers, but may introduce dependencies into the combined loop. We propose an analysis method by which the compiler can keep track of the change of the parallelism when combining high-level primitives. The analysis is necessary when the compiler needs to decide a trade-off between more parallelism and a further combination. We also show how the space usage, as well as the performance, improves by using system calls with the aid of garbage collection to implement a dynamic memory allocation. A modification of the memory management scheme can also increase available parallelism. Our experimental results indicate that the performance and the space usage improve appreciably with the above enhancements.

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Fortran 90 arrays

Bernecky

1991

SIGPLAN Not.

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Excellent application performance should not require tour de force programming efforts by users. Fortran 90 in an attempt to bring it from a scalar orientation into an array notation, has adopted some of the early concepts of APL, such as array operations. The introduction of these ideas is shown to be inadequate meeting the algorithmic needs of programmers, in terms of expressiveness, consistency, and conciseness. Comparisons with APL show Fortran 90 to be a mongrel, neither scalar- nor array-oriented, unable achieve the levels of productivity, performance, reliability, and maintainability required by computer users in the 1990s.

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ACORN : APL to C on real numbers

Cited by 7 publications

References 17 publications

On performance and space usage improvements for parallelized compiled APL code

On performance and space usage improvements for parallelized compiled APL code

On performance and space usage improvements for parallelized compiled APL code

Fortran 90 arrays

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