Bambu: A modular framework for the high level synthesis of memory-intensive applications

Pilato, Christian; Ferrandi, Fabrizio

doi:10.1109/fpl.2013.6645550

Cited by 123 publications

(59 citation statements)

References 9 publications

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“…To evaluate the proposed methodology, this has been implemented in Bambu [16], a modular framework for High Level Synthesis developed at Politecnico di Milano. Since the identification of the DoAll loops is out of the scope of this paper, this type of analysis has not been implemented: benchmarks have to be annotated by hand with a #pragma omp simd [14] to be vectorized.…”

Section: Resultsmentioning

confidence: 99%

“…1, consists of a brief fragment of code containing two nested loops. The outer loop is characterized by a fixed number of iterations (16) while the number (k) of iterations of inner loop cannot be computed at compile time. Moreover, the iterations of the outer loop can be parallelized while the iterations of the inner loop have to be executed in sequence.…”

Section: Motivational Examplementioning

confidence: 99%

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Exploiting Outer Loops Vectorization in High Level Synthesis

Lattuada

Ferrandi

2015

Lecture Notes in Computer Science

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Abstract. Synthesis of DoAll loops is a key aspect of High Level Synthesis since they allow to easily exploit the potential parallelism provided by programmable devices. This type of parallelism can be implemented in several ways: by duplicating the implementation of body loop, by exploiting loop pipelining or by applying vectorization. In this paper a methodology for the synthesis of complex DoAll loops based on outer vectorization is proposed. Vectorization is not limited to the innermost loops: complex constructs such as nested loops, conditional constructs and function calls are supported. Experimental results on parallel benchmarks show up to 7.35x speed-up and up to 40% reduction of area-delay product.

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Section: Resultsmentioning

confidence: 99%

Section: Motivational Examplementioning

confidence: 99%

Exploiting Outer Loops Vectorization in High Level Synthesis

Lattuada

Ferrandi

2015

Lecture Notes in Computer Science

Self Cite

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show abstract

“…The proposed methodology has been implemented in Bambu [28], a modular framework for High Level Synthesis developed at Politecnico di Milano. Since the identification of the DoAll loops is out of the scope of this paper, this type of analysis has not been implemented: benchmarks have to be annotated by hand with a #pragma omp simd [22] to be vectorized.…”

Section: Resultsmentioning

confidence: 99%

Exploiting vectorization in high level synthesis of nested irregular loops

Lattuada

Ferrandi

2017

Journal of Systems Architecture

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Synthesis of DoAll loops is a key aspect of High Level Synthesis since they allow to easily exploit the potential parallelism provided by programmable devices. This type of parallelism can be implemented in several ways: by duplicating the implementation of body loop, by exploiting loop pipelining or by applying vectorization.In this paper a methodology for the synthesis of nested irregular DoAll loops based on outer vectorization is proposed. The methodology transforms the intermediate representation of the DoAll loop to introduce vectorization and it can be easily integrated in existing state of the art High Level Synthesis flows since does not require any modification in the rest of the flow. Vectorization is not limited to perfectly nested countable loops: conditional constructs and loops with variable number of iterations are supported. Experimental results on parallel benchmarks show that the generated parallel accelerators have significant speed-up with limited penalties in terms of resource usage and frequency decrement.

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“…The integration of a High Level Synthesis flow in TASTE framework has been obtained by including Bambu [13] in the design flow.…”

Section: Bambumentioning

confidence: 99%