Patents by Inventor Mustafa Badaroglu

Mustafa Badaroglu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240096790
    Abstract: Disclosed are integrated circuit structures with buried rails and backside metals for routing input signals to and/or output signals from one or more cells of the integrated circuit structures. Port landing-free connections to input ports and/or from output ports are enabled. As a result, signal routing flexibility is enhanced.
    Type: Application
    Filed: September 15, 2022
    Publication date: March 21, 2024
    Inventors: Mustafa BADAROGLU, Zhongze WANG
  • Publication number: 20230238325
    Abstract: An integrated circuit includes a trench power rail to reduce resistance in a power rail or avoid an increase in resistance of a power rail as a result of the metal tracks being reduced in size as the technology node size is reduced. The trench power rail is formed in isolation regions between cell circuits. A cell isolation trench in the isolation region provides additional volume in which to dispose additional metal material for forming the trench power rail to increase its cross-sectional area. The trench power rail extends through a via layer to a metal layer, including signal interconnects. The trench power rail extends in a width direction out of the cell isolation trench in the via layer to couple to trench contacts of the adjacent cell circuits without vertical interconnect accesses (vias). A high-K dielectric layer can selectively isolate the trench power rail from the cell circuits.
    Type: Application
    Filed: January 26, 2022
    Publication date: July 27, 2023
    Inventors: Mustafa Badaroglu, Zhongze Wang
  • Publication number: 20230115373
    Abstract: Certain aspects provide an apparatus for performing machine learning tasks, and in particular, to computation-in-memory architectures. One aspect provides a method for in-memory computation. The method generally includes: accumulating, via each digital counter of a plurality of digital counters, output signals on a respective column of multiple columns of a memory, wherein a plurality of memory cells are on each of the multiple columns, the plurality of memory cells storing multiple bits representing weights of a neural network, wherein the plurality of memory cells of each of the multiple columns correspond to different word-lines of the memory; adding, via an adder circuit, output signals of the plurality of digital counters; and accumulating, via an accumulator, output signals of the adder circuit.
    Type: Application
    Filed: October 13, 2021
    Publication date: April 13, 2023
    Inventors: Mustafa BADAROGLU, Zhongze WANG
  • Publication number: 20230065725
    Abstract: Methods and apparatus for performing machine learning tasks, and in particular, to a neural-network-processing architecture and circuits for improved performance through depth parallelism. One example neural-network-processing circuit generally includes a plurality of groups of processing element (PE) circuits, wherein each group of PE circuits comprises a plurality of PE circuits configured to process in parallel an input at a plurality of depths.
    Type: Application
    Filed: September 2, 2021
    Publication date: March 2, 2023
    Inventors: Mustafa BADAROGLU, Zhongze WANG, Francois Ibrahim ATALLAH
  • Publication number: 20230047364
    Abstract: Methods and apparatus for performing machine learning tasks, and in particular, to a neural-network-processing architecture and circuits for improved handling of partial accumulation results in weight-stationary operations, such as operations occurring in compute-in-memory (CIM) processing elements (PEs). One example PE circuit for machine learning generally includes an accumulator circuit, a flip-flop array having an input coupled to an output of the accumulator circuit, a write register, and a first multiplexer having a first input coupled to an output of the write register, having a second input coupled to an output of the flip-flop array, and having an output coupled to a first input of the first accumulator circuit.
    Type: Application
    Filed: August 10, 2021
    Publication date: February 16, 2023
    Inventors: Mustafa BADAROGLU, Zhongze WANG
  • Patent number: 11581037
    Abstract: Digital compute-in-memory (DCIM) bit cell circuit layouts and DCIM array circuits for multiple operations per column are disclosed. A DCIM bit cell array circuit including DCIM bit cell circuits comprising exemplary DCIM bit cell circuit layouts disposed in columns is configured to evaluate the results of multiple multiply operations per clock cycle. The DCIM bit cell circuits in the DCIM bit cell circuit layouts each couples to one of a plurality of column output lines in a column. In this regard, in each cycle of a system clock, each of the plurality of column output lines receives a result of a multiply operation of a DCIM bit cell circuit coupled to the column output line. The DCIM bit cell array circuit includes digital sense amplifiers coupled to each of the plurality of column output lines to reliably evaluate a result of a plurality of multiply operations per cycle.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: February 14, 2023
    Assignee: QUALCOMM Incorporated
    Inventors: Xiaonan Chen, Zhongze Wang, Yandong Gao, Mustafa Badaroglu
  • Publication number: 20230037054
    Abstract: Certain aspects generally relate to performing machine learning tasks, and in particular, to computation-in-memory architectures and operations. One aspect provides a circuit for in-memory computation. The circuit generally includes multiple bit-lines, multiple word-lines, an array of compute-in-memory cells, and a plurality of accumulators, each accumulator being coupled to a respective one of the multiple bit-lines. Each compute-in-memory cell is coupled to one of the bit-lines and to one of the word-lines and is configured to store a weight bit of a neural network.
    Type: Application
    Filed: July 29, 2022
    Publication date: February 2, 2023
    Inventors: Zhongze WANG, Mustafa BADAROGLU
  • Publication number: 20230031841
    Abstract: Certain aspects provide an apparatus for performing machine learning tasks, and in particular, to computation-in-memory architectures. One aspect provides a circuit for in-memory computation. The circuit generally includes: a plurality of memory cells on each of multiple columns of a memory, the plurality of memory cells being configured to store multiple bits representing weights of a neural network, wherein the plurality of memory cells on each of the multiple columns are on different word-lines of the memory; multiple addition circuits, each coupled to a respective one of the multiple columns; a first adder circuit coupled to outputs of at least two of the multiple addition circuits; and an accumulator coupled to an output of the first adder circuit.
    Type: Application
    Filed: August 2, 2021
    Publication date: February 2, 2023
    Inventors: Mustafa BADAROGLU, Zhongze WANG
  • Publication number: 20230025068
    Abstract: Methods and apparatus for performing machine learning tasks, and in particular, a hybrid architecture that includes both neural processing unit (NPU) and compute-in-memory (CIM) elements. One example neural-network-processing circuit generally includes a plurality of CIM processing elements (PEs), a plurality of neural processing unit (NPU) PEs, and a bus coupled to the plurality of CIM PEs and to the plurality of NPU PEs. One example method for neural network processing generally includes processing data in a neural-network-processing circuit comprising a plurality of CIM PEs, a plurality of NPU PEs, and a bus coupled to the plurality of CIM PEs and to the plurality of NPU PEs; and transferring the processed data between at least one of the plurality of CIM PEs and at least one of the plurality of NPU PEs via the bus.
    Type: Application
    Filed: July 20, 2022
    Publication date: January 26, 2023
    Inventors: Mustafa BADAROGLU, Zhongze WANG, Titash RAKSHIT
  • Publication number: 20220392524
    Abstract: Digital compute-in-memory (DCIM) bit cell circuit layouts and DCIM array circuits for multiple operations per column are disclosed. A DCIM bit cell array circuit including DCIM bit cell circuits comprising exemplary DCIM bit cell circuit layouts disposed in columns is configured to evaluate the results of multiple multiply operations per clock cycle. The DCIM bit cell circuits in the DCIM bit cell circuit layouts each couples to one of a plurality of column output lines in a column. In this regard, in each cycle of a system clock, each of the plurality of column output lines receives a result of a multiply operation of a DCIM bit cell circuit coupled to the column output line. The DCIM bit cell array circuit includes digital sense amplifiers coupled to each of the plurality of column output lines to reliably evaluate a result of a plurality of multiply operations per cycle.
    Type: Application
    Filed: June 8, 2021
    Publication date: December 8, 2022
    Inventors: Xiaonan Chen, Zhongze Wang, Yandong Gao, Mustafa Badaroglu
  • Patent number: 11121075
    Abstract: Aspects of the disclosure are directed to an integrated circuit. The integrated circuit may include a signaling interconnect having a narrow trench disposed within a metallization layer, and a power rail having a wide trench disposed within the metallization layer, wherein the signaling interconnect comprises non-copper material and the power rail comprises copper. The non-copper material may include at least one of ruthenium (Ru), tungsten (W), aluminum (Al), and cobalt (Co). The signaling interconnect and power rail may be processed in a common chemical mechanical polishing step and have approximately the same trench depth. A metal cap may be deposited on top of the power rail.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: September 14, 2021
    Assignee: Qualcomm Incorporated
    Inventors: Mustafa Badaroglu, Kern Rim
  • Patent number: 10607896
    Abstract: The disclosed technology generally relates to semiconductor devices and more particularly to a gate structure for a semiconductor device, and to methods of forming the same. In an aspect a method for forming a gate structure includes forming a first set of one or more semiconductor features and a second set of one or more semiconductor features. The method additionally includes forming a sacrificial gate extending across the semiconductor features of the first set and the semiconductor features of the second set.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: March 31, 2020
    Assignee: IMEC vzw
    Inventors: Lars-Ake Ragnarsson, Hendrik F.W. Dekkers, Tom Schram, Julien Ryckaert, Naoto Horiguchi, Mustafa Badaroglu
  • Publication number: 20200020688
    Abstract: Integrated circuits employing varied gate topography between an active gate region(s) and a field gate region(s) in a gate(s) for reduced gate layout parasitic capacitance, and related methods, are disclosed. In exemplary aspects, the gate topography (e.g., height) of a gate in a circuit cell used to form gates for devices formed therein to form an integrated circuit is varied between an active gate and a field gate(s) of the gate. In this manner, the overall volume of material in the gate can be reduced due to the reduction in volume of the field gate(s) to reduce gate layout parasitic capacitance. Reducing gate layout parasitic capacitance in a circuit cell can reduce the overall parasitic capacitance of an integrated circuit formed from the circuit cell to achieve the desired integrated circuit delay performance.
    Type: Application
    Filed: July 13, 2018
    Publication date: January 16, 2020
    Inventors: Mustafa Badaroglu, Kern Rim
  • Publication number: 20200006122
    Abstract: Integrated circuits (ICs) made using extreme ultraviolet (EUV) patterning and methods for fabricating such ICs are disclosed. In an exemplary aspect, fabricating such ICs includes using a double-exposure EUV process when making metal trenches for the ICs. In particular, after a first EUV exposure and etching process, spacers are used before a second EUV exposure to guarantee minimum spacing between the metal trenches.
    Type: Application
    Filed: June 27, 2018
    Publication date: January 2, 2020
    Inventors: Mustafa Badaroglu, Kern Rim
  • Publication number: 20190295942
    Abstract: Aspects of the disclosure are directed to an integrated circuit. The integrated circuit may include a signaling interconnect having a narrow trench disposed within a metallization layer, and a power rail having a wide trench disposed within the metallization layer, wherein the signaling interconnect comprises non-copper material and the power rail comprises copper. The non-copper material may include at least one of ruthenium (Ru), tungsten (W), aluminum (Al), and cobalt (Co). The signaling interconnect and power rail may be processed in a common chemical mechanical polishing step and have approximately the same trench depth. A metal cap may be deposited on top of the power rail.
    Type: Application
    Filed: March 23, 2018
    Publication date: September 26, 2019
    Inventors: Mustafa BADAROGLU, Kern RIM
  • Patent number: 10411091
    Abstract: Integrated circuits employing a field gate(s) without dielectric layers and/or work function metal layers for reduced gate layout parasitic resistance, and related methods are disclosed. At least a portion of the dielectric layers and/or work function metal layers present in active gate(s) is not present in a field gate(s) of a gate in a circuit cell. The field gate(s) have more conductive gate material than the active gate(s). In this manner, the increased volume of gate material in the field gate(s) reduces gate layout parasitic resistance. The active gate(s) retains the dielectric layers and/or work function metal layers to effectively isolate the gate material from a channel of a FET formed from the circuit cell to provide effective channel control. Reducing gate layout parasitic resistance can reduce current (I) resistance (R) (IR) drop to achieve the desired drive strength in the integrated circuit.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: September 10, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Mustafa Badaroglu, Kern Rim
  • Patent number: 10332881
    Abstract: Integrating a gate-all-around (GAA) field-effect transistor(s) and a FinFET(s) on a common substrate of a semiconductor die is disclosed. GAA FETs and FinFETs can form integrated circuits (ICs). GAA FETs and FinFETs are integrated on a common substrate to optimize advantages of each type of FET. For example, FinFETs may be formed in the common substrate in the semiconductor die for forming circuits where reduced resistance and capacitance are important for performance, whereas GAA FETs may be formed in the common substrate in the semiconductor die for forming circuits with decreased threshold voltage to allow voltage scaling to lower supply voltages to reduce power consumption and also to reduce silicon area as a result of vertically stacked devices. This supports a designer having the freedom to separate control the channel width of the GAA FETs and FinFETs, which may be important for controlling drive strength and/or area for different circuits.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: June 25, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Mustafa Badaroglu, Kern Rim
  • Patent number: 10283526
    Abstract: Standard cell circuits employing voltage rails electrically coupled to metal shunts for reducing or avoiding increases in voltage drop are disclosed. In one aspect, a standard cell circuit is provided that employs active devices that include corresponding gates disposed with a gate pitch. First and second voltage rails having a line width are disposed in a first metal layer. Employing the first and second voltage rails having substantially a same line width reduces the height of the standard cell circuit as compared to conventional standard cell circuits. Metal lines are disposed in a second metal layer with a metal pitch less than the gate pitch such that the number of metal lines exceeds the number of gates. Electrically coupling the first and second voltage rails to the metal shunts increases the conductive area of each voltage rail, which reduces a voltage drop across each voltage rail.
    Type: Grant
    Filed: December 21, 2016
    Date of Patent: May 7, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: John Jianhong Zhu, Jeffrey Junhao Xu, Mustafa Badaroglu
  • Publication number: 20190107569
    Abstract: Aspects of the disclosure includes a transistor-under-test (TUT) to charge/discharge a capacitor; changing an oscillation state when a capacitor voltage crosses a threshold and turning OFF the TUT; discharging the capacitor using the TUT; commencing precharging the capacitor after detecting the capacitor reaches a transition voltage; commencing discharging the capacitor after a precharger time delay; sustaining a relaxation oscillator waveform, wherein the relaxation oscillator waveform is based on turning OFF/ON the TUT; and generating a digital representation of a TUT current associated with a relaxation oscillator period of the relaxation oscillator waveform.
    Type: Application
    Filed: October 11, 2017
    Publication date: April 11, 2019
    Inventors: David Kidd, Ardavan Moassessi, Angelo Pinto, Albert Kumar, Yi Lou, Bipin Duggal, Amar Gulhane, Michael Bourland, Mustafa Badaroglu, Paul Penzes
  • Publication number: 20190067435
    Abstract: A nanowire transistor is provided that includes a well implant having a local isolation region for insulating a replacement metal gate from a parasitic channel. In addition, the nanowire transistor includes oxidized caps in the extension regions that inhibit parasitic gate-to-source and gate-to-drain capacitances.
    Type: Application
    Filed: October 25, 2018
    Publication date: February 28, 2019
    Inventors: Mustafa Badaroglu, Vladimir Machkaoutsan, Stanley Seungchul Song, Jeffrey Junhao Xu, Matthew Michael Nowak, Choh Fei Yeap