Mythic, Inc.

University of Michigan

Laura E Fick

David Alan Fick

Skylar Skrzyniarz

Manar El-Chammas

Scott C Johnson

Malav Parikh

Andrew Morten

Pei-Ci Wu

Michael Henry

David Theodore Blaauw

Dennis Sylvester

Michael B Henry

Skylar J Skrzyniarz

Systems and methods of implementing a mixed-signal integrated circuit includes sourcing, by a reference signal source, a plurality of analog reference signals along a shared signal communication path to a plurality of local accumulators; producing an electrical charge, at each of the plurality of local accumulators, based on each of the plurality of analog reference signals; adding or subtracting, by each of the plurality of local accumulators, the electrical charge to an energy storage device of each of the plurality of local accumulators over a predetermined period; summing along the shared communication path the electrical charge from the energy storage device of each of the plurality of local accumulators at an end of the predetermined period; and generating an output based on a sum of the electrical charge from each of the plurality of local accumulators.

System and methods for mixed-signal computing

A mixed-signal integrated circuit that includes: a global reference signal source; a first summation node and a second summation node; a plurality of distinct pairs of current generating circuits arranged along the first summation node and the second summation node; a first current generating circuit of each of the plurality of distinct pairs that is arranged on the first summation node and a second current generating circuit of each of the plurality of distinct pairs is arranged on the second summation node; a common-mode current circuit that is arranged in electrical communication with each of the first and second summation nodes; where a local DAC adjusts a differential current between the first second summation nodes based on reference signals from the global reference source; and a comparator or a finite state machine that generates a binary output value current values obtained from the first and second summation nodes.

Systems and methods of configuring a fixed memory array of an integrated circuit with coefficients of one or more applications includes identifying a utilization constraint type of the fixed memory array from a plurality of distinct utilization constraint types based on computing attributes of the one or more applications; identifying at least one coefficient mapping technique from a plurality of distinct coefficient mapping techniques that addresses the utilization constraint type; configuring the fixed memory array according to the at least one coefficient mapping technique, wherein configuring the array includes at least setting within the array the coefficients of the one or more applications in an arrangement prescribed by the at least one coefficient mapping technique that optimizes a computational utilization of the fixed memory array.

Systems and methods for mapping matrix calculations to a matrix multiply accelerator

An integrated circuit and method are provided for performing weighted sum computations. The circuit includes: a plurality of current generators interconnected and arranged into pairs, a positive summation node, a negative summation node, and an input generation circuit. For each pair of current generators, the control terminal of each element is electrically connected to an input node. One of the current generators has its drain connected to the positive summation node while the other current generation element has its drain connected to the negative summation node. The remaining terminals on both current generators are connected to a reference, which may be shared. Each pair of current generator source predetermined amounts of current onto the two summation nodes when the following conditions occur: the input node is at an activation voltage, and the two summation nodes are at a predetermined target voltage.

Mixed-signal circuitry for computing weighted sum computation

A weighted sum is a key computation for many neural networks and other machine learning algorithms. Integrated circuit designs that perform a weighted sum are presented. Weights are stored as threshold voltages in an array of flash transistors. By putting the circuits into a well-defined voltage state, the transistors that hold one set of weights will pass current equal to the desired sum. The current flowing through a given transistor is unaffected by operation of remaining transistors in the circuit.

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Cedar Park, TX, United States of America

Laura E Fick