Abstract: A mode control circuit operates a circuit arrangement in either a first mode to multiply floating point operands or a second mode to compute a dot product of two vectors of block floating point values. A block of multiplier circuits generates products from first pairs of p-terms. Each p-term is a portion of a significand of one of the floating point operands when operating in the first mode, or a significand of one of the block floating point values when operating in the second mode. An adder tree that is coupled to the block of multiplier circuits sums the products into a final sum. A floating point conversion circuit is configured to generate a floating point value from the final sum and the floating point operands in response to operating in the first mode, and generate a block floating point value from the final sum in response to operating in the second mode.

Abstract: A disclosed compression method includes inputting a data set of floating point values from an input circuit to a compression circuit and detecting non-zero values and sequences of zero values in the data set. The compression circuit outputs, in response to detection of a non-zero value in the data set, the non-zero value to an output circuit. The compression circuit generates, in response to detection of a sequence of zero values in the data set, a subnormal floating point value having significand bits that indicate counted zero values in the sequence, and outputs the subnormal floating point value to the output circuit.

Abstract: The embodiments herein describe a conversion engine that converts floating point data into integer data using a dynamic scaling factor. To select the scaling factor, the conversion engine compares a default (or initial) scaling factor value to an exponent portion of the floating point value to determine a shift value with which to bit shift a mantissa of the floating point value. After bit shifting the mantissa, the conversion engine determines whether the shift value caused an overflow or an underflow and whether that overflow or underflow violates a predefined policy. If the policy is violated, the conversion engine adjusts the scaling factor and restarts the conversion process. In this manner, the conversion engine can adjust the scaling factor until identifying a scaling factor that converts all the floating point values in the batch without violating the policy.

Abstract: A system comprises a pair of configurable logic blocks (CLBs) placed adjacent to each other wherein each of the CLBs includes a plurality of configurable logic elements. A plurality sets of inodes are configured to accept signals to and/or from the CLBs, wherein a first set of inodes is positioned to the left of the adjacent CLBs and a second set of inodes is positioned to the right of the adjacent CLBs. A plurality of bnodes are embedded in the middle of the adjacent CLBs, wherein each bnode is configured to establish a first connection between the bnode and one of the first set of inodes on the left of the CLBs and a second connection between the bnode and one of the second set of inodes on the right of the CLBs. Both the first and second routing connections are localized within the pair of adjacent CLBs.

Abstract: An example programmable integrated circuit (IC) includes a programmable fabric having a programmable interconnect and wire tracks adjacent to at least one edge of the programmable fabric. The programmable IC further includes at least one ring node integrated with at least one edge of the programmable fabric, the at least one ring node coupled between the programmable interconnect and the wire tracks. The programmable IC further includes a system-in-package (SiP) input/output (IO) circuit coupled to the wire tracks.

Abstract: In an example, a programmable integrated circuit (IC) includes external contacts configured to interface with a substrate and a plurality of configurable logic elements (CLEs) distributed across a programmable fabric. The programmable IC further includes interconnect circuits disposed between the plurality of CLEs and the external contacts. A plurality of the interconnect circuits is disposed in the plurality of CLEs.

Abstract: An example programmable integrated circuit (IC) includes a programmable fabric having a programmable interconnect and wire tracks adjacent to at least one edge of the programmable fabric. The programmable IC further includes at least one ring node integrated with at least one edge of the programmable fabric, the at least one ring node coupled between the programmable interconnect and the wire tracks. The programmable IC further includes a system-in-package (SiP) input/output (IO) circuit coupled to the wire tracks.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAS. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters. In one embodiment, a SIM references or includes one or more floorplanners each of which may employ one or more placement algorithms. Such placement algorithms might include, for example: a linear ordering algorithm that places datapath logic bitwise in a regular linear pattern; a rectangular mesh algorithm that implements memory in a grid pattern in distributed RAM; a columnar algorithm for counters and other arithmetic logic; or a simulated annealing algorithm for random logic such as control logic. Therefore, a design including more than one SIM can utilize a plurality of placement algorithms at the same or different levels of hierarchy.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters that may, for example, include the required timing, data width, number of taps for a FIR filter, and so forth. SIMs are called “self implementing” because they encapsulate much of their own implementation information, including mapping, placement, and (optionally) routing information. Therefore, implementing a SIM-based design is significantly faster than with traditional modules, since much of the implementation is already complete and incorporated in the SIM.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters. In one embodiment, a SIM automatically places and interconnects child SIMs in a mesh pattern. The mesh is a 2-dimensional object corresponding to an array of CLBs on an FPGA. In essence, this embodiment allows a SIM to reserve routing resources on a target device (e.g., an FPGA), and allocate these resources to its child SIMs. Using a defined protocol, each child SIM can request and reserve routing resources, as well as placement resources (such as flip-flops and function generators in the CLBs) through the parent SIM. The routing resources are not necessarily limited to local or nearest neighbor routing.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters. In one embodiment, a SIM references or includes one or more floorplanners each of which may employ one or more placement algorithms. Such placement algorithms might include, for example: a linear ordering algorithm that places datapath logic bitwise in a regular linear pattern; a rectangular mesh algorithm that implements memory in a grid pattern in distributed RAM; a columnar algorithm for counters and other arithmetic logic; or a simulated annealing algorithm for random logic such as control logic. Therefore, a design including more than one SIM can utilize a plurality of placement algorithms at the same or different levels of hierarchy.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters that may, for example, include the required timing, data width, number of taps for a FIR filter, and so forth. In one embodiment, the SIM parameters may be symbolic expressions, which may comprise strings or string expressions, logical (Boolean) expressions, or a combination of these data types. The variables in these expressions are either parameters of the SIM or parameters of the “parent” of the SIM. Parametric expressions are parsed and evaluated at the time the SIM is elaborated; i.e., at run-time, usually when the design is mapped, placed, and routed in a specific FPGA.

Abstract: The invention supplies a method whereby placement information for elements of a logic module is specified in such a manner that specific coordinates need not be included. This method can be applied to any module or other element having an associated placement in a programmable device. Using the method of the invention, relative coordinates (such as the RLOC constraints discussed in relation to the prior art) need not be specified. Instead, the invention introduces a vector-based form of layout. Key words or phrases such as “COLUMN” or “ROW” indicate the manner in which the elements of the module are to be placed. Use of such parametric words or phrases removes from the module developer the burden of determining exactly how large the module will be for each parameter combination, and in some cases finding expressions by which the relative locations can be calculated.

Abstract: The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters that may, for example, include the required timing, data width, number of taps for a FIR filter, and so forth. In one embodiment, the SIM parameters may be symbolic expressions, which may comprise strings or string expressions, logical (Boolean) expressions, or a combination of these data types. The variables in these expressions are either parameters of the SIM or parameters of the “parent” of the SIM. Parametric expressions are parsed and evaluated at the time the SIM is elaborated; i.e., at run-time, usually when the design is mapped, placed, and routed in a specific FPGA.

Abstract: A method and system for generating a programming bitstream for a programmable gate array. A programming bitstream for the programmable gate array is generated in response to an input design specification. The programming bitstream includes one or more unused segments, either interspersed through the bitstream or appended to the end of the bitstream, wherein an unused segment includes bits that are not used for programming the programmable gate array. One or more selected items of information are encoded to form binary representations of the items. The binary representations are inserted into one or more of the unused segments of the programming bitstream.