A Toolchain for Streaming Dataflow Accelerator Designs for Big Data Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs

Tydi is an open specification for streaming dataflow designs in digital circuits, allowing designers to express how composite and variable-length data structures are transferred over streams using clear, data-centric types. This provides a higher-level method for defining interfaces between components as opposed to existing bit- and byte-based...

High-Throughput Big Data Analytics Through Accelerated Parquet to Arrow Conversion

With the advent of high-bandwidth non-volatile storage devices, the classical assumption that database analytics applications are bottlenecked by CPUs having to wait for slow I/O devices is being flipped around. Instead, CPUs are no longer able to decompress and deserialize the data stored in storage-focused file formats fast enough to keep up...

Enabling FPGA Memory Management for Big Data Applications Using Fletcher

vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...

Accelerated HaplotypeCaller DNA Analysis Application on FPGAs Using CAPI

DNA carries all the information needed to define the genetic structure of an individual. The large amounts of information stored in the DNA makes it costly to store and to process. In this work, a fast and efficient implementation of a Field Programmable GateArray (FPGA) based, streaming multicore architecture for accelerating variant calling...