2. On Cloud-Supported Web-Based Integrated Development Environment for Programming DataFlow Architectures

Control-flow computer architectures are based on the von Neumann paradigm. They are flexible enough to support the execution of instructions in any order. Each instruction is fetched from the memory before it could be executed. Passing the data from the instruction that produces it to the instruction that requires it is done using registers or memory. DataFlow computer architectures are configured for execution of an algorithm, while data travel through the hardware. They are suitable for high-performance computing, where the same set of instructions should be run many times. Initialization of data and other processing is done by the processor based on control-flow. The Maxeler framework provides functionality for transforming any algorithm into a VHDL file, and further configuring the dataflow hardware. It also provides support for sending data from the control-flow host processor to the dataflow hardware, and bringing results back. Common programming languages are supported for the host processor, while dataflow hardware programming is done in MaxJ, which is an extended subset of the Java programming language. One can use an integrated development environment called MaxIDE, which is based on Eclipse. We present here a perspective overview of a cloud-supported web-based integrated development environment, WebIDE, which is a subset of MaxIDE, and enables users to develop and run programs for dataflow hardware even without owning dataflow hardware. The main concepts are explained, as well as differences in two integrated development environments. Then, our main focus is on the point of view of programmers, and the goal is to compare the MaxIDE and the WebIDE Maxeler framework, describing the technology needed to support the WebIDE Maxeler framework, providing that the MaxIDE already exists.