Add to ORKGAbstract—Industry is moving towards many-core processors, which are expected to consist of tens or even hundreds of cores. One of these future processors is the 48-core experimental processor Single-Chip Cloud Computer (SCC). The SCC was created by Intel Labs as a platform for many-core research. The characteristics of this system turns it into a big challenge for researchers in order to extract performance from such complex architecture. In this work we study and explore the behavior of an irregular application such as the Sparse Matrix-Vector mul-tiplication (SpMV) on the SCC processor. An evaluation in terms of performance and power efficiency is provided. Our experiments give some key insights that can serve as guidelines for the unders...
Sparse matrix-vector multiplication (SMVM) is a fundamental operation in many scientific and enginee...
AbstractThe sparse matrix-vector multiplication (SpMV) is a fundamental kernel used in computational...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
It is well-known that reordering techniques applied to sparse matrices are common strategies to impr...
Sparse matrix-vector multiplication (SpMV) is an important ker-nel in many scientific applications a...
Abstract—In this paper we present two algorithms for perform-ing sparse matrix-dense vector multipli...
AbstractImproving the computing performance of the multicoreand many-core systems is one of the prim...
In this paper, we propose a lightweight optimization methodology for the ubiquitous sparse matrix-ve...
Sparse matrix vector multiplication (SpMV) is one of the most common operations in scientific and hi...
Abstract. The Sparse Matrix-Vector Multiplication is the key operation in many iterative methods. Th...
Understanding the scalability of parallel programs is crucial for software optimization and hardware...
Sparse matrix-vector multiplication (SMVM) is a fundamental operation in many scientific and enginee...
AbstractThe sparse matrix-vector multiplication (SpMV) is a fundamental kernel used in computational...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as...
It is well-known that reordering techniques applied to sparse matrices are common strategies to impr...
Sparse matrix-vector multiplication (SpMV) is an important ker-nel in many scientific applications a...
Abstract—In this paper we present two algorithms for perform-ing sparse matrix-dense vector multipli...
AbstractImproving the computing performance of the multicoreand many-core systems is one of the prim...
In this paper, we propose a lightweight optimization methodology for the ubiquitous sparse matrix-ve...
Sparse matrix vector multiplication (SpMV) is one of the most common operations in scientific and hi...
Abstract. The Sparse Matrix-Vector Multiplication is the key operation in many iterative methods. Th...
Understanding the scalability of parallel programs is crucial for software optimization and hardware...
Sparse matrix-vector multiplication (SMVM) is a fundamental operation in many scientific and enginee...
AbstractThe sparse matrix-vector multiplication (SpMV) is a fundamental kernel used in computational...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...