Accelerators, including graphic processing units (GPUs) for general-purpose computation, manycore designs with wide vector units (e.g., Intel Phi), have become a common component of many high-performance clusters. The appearance of more stable and reliable tools that can automatically convert code written in high-level specifications with annotations (such as C or C++) to hardware description languages (high-level synthesis-HLS) is also setting the stage for a broader use of reconfigurable devices (e.g., field programmable gate arrays-FPGAs) in high-performance system for the implementation of custom accelerators, helped by the fact that new processors include advanced cache-coherent interconnects for these components. In this chapter, we b...
In this paper we present a set of techniques that enable the synthesis of efficient custom accelerat...
With the ever-increasing amount of data and input variations, portable performance is becoming harde...
Presented on April 16, 2019 at 3:00 p.m. in the Jesse W. Mason Building, Room 2117.Oded Green is a S...
Accelerators, including graphic processing units (GPUs) for general-purpose computation, manycore de...
Graph analytics are an emerging class of irregular applications. Operating on very large datasets, t...
As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the n...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Because of fundamental limitations of CMOS technology, computing researchers and the computing indus...
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
In this monograph, we survey recent research on using reconfigurable hardware accelerators, namely, ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
As we witness the breakdown of Dennard scaling, we can no longer get faster computers by shrinking t...
Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Computer Engi...
Hardware accelerators are known to be performance and power efficient. This article focuses on accel...
Graph applications have been gaining importance in the last decade due to emerging big data analytic...
In this paper we present a set of techniques that enable the synthesis of efficient custom accelerat...
With the ever-increasing amount of data and input variations, portable performance is becoming harde...
Presented on April 16, 2019 at 3:00 p.m. in the Jesse W. Mason Building, Room 2117.Oded Green is a S...
Accelerators, including graphic processing units (GPUs) for general-purpose computation, manycore de...
Graph analytics are an emerging class of irregular applications. Operating on very large datasets, t...
As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the n...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Because of fundamental limitations of CMOS technology, computing researchers and the computing indus...
2018-10-16Graph analytics has drawn much research interest because of its broad applicability from m...
In this monograph, we survey recent research on using reconfigurable hardware accelerators, namely, ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
As we witness the breakdown of Dennard scaling, we can no longer get faster computers by shrinking t...
Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Computer Engi...
Hardware accelerators are known to be performance and power efficient. This article focuses on accel...
Graph applications have been gaining importance in the last decade due to emerging big data analytic...
In this paper we present a set of techniques that enable the synthesis of efficient custom accelerat...
With the ever-increasing amount of data and input variations, portable performance is becoming harde...
Presented on April 16, 2019 at 3:00 p.m. in the Jesse W. Mason Building, Room 2117.Oded Green is a S...