As a columnar in-memory format, Apache Arrow has seen increased interest from the data analytics community. Fletcher is a framework that generates hardware interfaces based on this format, to be used in FPGA accelerators. This allows efficient integration of FPGA accelerators with various high-level software languages, while providing an easy-to-use hardware interface for the FPGA developer. The abstract descriptions of data sets stored in the Arrow format, that form the input of the interface generation step, can be complex. To generate efficient interfaces from it is challenging. In this paper, we introduce the hardware components of Fletcher that help solve this challenge. These components allow FPGA developers to express access to compl...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
There has been an increasing interest in moving computation closer to storage in recent years due to...
Modern big data systems are highly heterogeneous. The components found in their many layers of abstr...
As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the n...
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory st...
In the domain of big data analytics, the bottleneck of converting storage-focused file formats to in...
Because of fundamental limitations of CMOS technology, computing researchers and the computing indus...
While FPGAs have seen prior use in database systems, in recent years interest in using FPGA to accel...
Though field-programmable gate arrays (FPGAs) have been used to accelerate database systems, they ha...
Through new digital business models, the importance of big data analytics continuously grows. Initia...
Despite its advantages in performance and control, hardware design is mainly bottlenecked by high de...
With the advent of high-bandwidth non-volatile storage devices, the classical assumption that databa...
Near-Data Processing is a promising approach to overcome the limitations of slow I/O interfaces in t...
In line with the insight that “one size ” of databases will not fit all application needs [19], the ...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
There has been an increasing interest in moving computation closer to storage in recent years due to...
Modern big data systems are highly heterogeneous. The components found in their many layers of abstr...
As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the n...
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory st...
In the domain of big data analytics, the bottleneck of converting storage-focused file formats to in...
Because of fundamental limitations of CMOS technology, computing researchers and the computing indus...
While FPGAs have seen prior use in database systems, in recent years interest in using FPGA to accel...
Though field-programmable gate arrays (FPGAs) have been used to accelerate database systems, they ha...
Through new digital business models, the importance of big data analytics continuously grows. Initia...
Despite its advantages in performance and control, hardware design is mainly bottlenecked by high de...
With the advent of high-bandwidth non-volatile storage devices, the classical assumption that databa...
Near-Data Processing is a promising approach to overcome the limitations of slow I/O interfaces in t...
In line with the insight that “one size ” of databases will not fit all application needs [19], the ...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
There has been an increasing interest in moving computation closer to storage in recent years due to...