Add to ORKGThis manuscript summarizes the main ideas introduced in [1]. We propose a compiler that automatically transforms a sequential ap-plication into a parallel counterpart for multicore processors. It is based on an intermediate representation, named KIR, which ex-poses multiple levels of parallelism and hides the complexity of the implementation details thanks to the domain-independent kernels (e.g., assignment, reduction). The effectiveness and performance of our approach, built on top of GCC, has been tested with a large variety of codes
Parallelism has become the primary way to maximize processor performance and power efficiency. But b...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
Reduction recognition and optimization are crucial techniques in parallelizing compilers. They are u...
The widespread use of multicore processors is not a consequence of significant advances in parallel ...
The widespread use of multicore processors is not a consequence of significant advances in parallel ...
Modern compilers offer more and more capabilities to automatically parallelize code-regions if these...
Abstract. The automatic parallelization of sequential applications is a great challenge for current ...
Summarization: Writing parallel code is difficult, especially when starting from a sequential refere...
Effective memory hierarchy utilization is critical to the performance of modern multiprocessor archi...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The multicore era has increased the need for highly parallel software. Since automatic parallelizati...
This paper describes methods to adapt existing optimizing compilers for sequential languages to prod...
International audienceThis paper presents a technique for representing the high level semantics of p...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
Parallelism has become the primary way to maximize processor performance and power efficiency. But b...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
Reduction recognition and optimization are crucial techniques in parallelizing compilers. They are u...
The widespread use of multicore processors is not a consequence of significant advances in parallel ...
The widespread use of multicore processors is not a consequence of significant advances in parallel ...
Modern compilers offer more and more capabilities to automatically parallelize code-regions if these...
Abstract. The automatic parallelization of sequential applications is a great challenge for current ...
Summarization: Writing parallel code is difficult, especially when starting from a sequential refere...
Effective memory hierarchy utilization is critical to the performance of modern multiprocessor archi...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The multicore era has increased the need for highly parallel software. Since automatic parallelizati...
This paper describes methods to adapt existing optimizing compilers for sequential languages to prod...
International audienceThis paper presents a technique for representing the high level semantics of p...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
Parallelism has become the primary way to maximize processor performance and power efficiency. But b...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
Reduction recognition and optimization are crucial techniques in parallelizing compilers. They are u...