Abstract: Described is an apparatus which comprises: a plurality of transistors coupled to an input power supply and to a load; a first comparator with a first node coupled to the load, and a second node coupled to a first reference; a second comparator with a first node coupled to the load, and a second node coupled to a second reference, the second reference being different from the first reference; and a logic unit to receive output of the first comparator and output of the second comparator, the logic unit to turn on or off transistors of the plurality of transistors according to outputs of the first and second comparators.

Abstract: An apparatus, system, and method for register file circuits are provided. A register file circuit can include a first write bit line (WBL), a first P-channel metal oxide semiconductor (PMOS) transistor including a source coupled to the WBL, a first inverter including an input coupled to a drain of the first PMOS transistor, a second PMOS transistor including a source coupled to an output of the first inverter, and a second WBL (WBLB) coupled to a drain of the second PMOS transistor. 1R1W register file and 2R1W register file designs are provided.

Abstract: Embodiments herein relate to scaling of Static Random Access Memory (SRAM) cells. An SRAM cell include nMOS transistors on one level above pMOS transistors on a lower level. Transistors on the two levels can have overlapping footprints to save space. Additionally, the SRAM cell can use pMOS access transistors in place of nMOS access transistors to allow reuse of areas of the cell which would otherwise be used by the nMOS access transistors. In one approach, gate interconnects are provided in these areas, which have an overlapping footprint with underlying pMOS access transistors to save space. The SRAM cells can be connected to bit lines and word lines in overhead and/or bottom metal layers. In another aspect, SRAM cells of a column are connected to bit lines in an overlying M0 metal layer and an underlying BM0 metal layers to reduce capacitance.

Abstract: A system for autonomous and proactive power management for energy efficient execution of machine learning workloads may include an apparatus such as system-on-chip (SoC) comprising an accelerator configurable to load and execute a neural network and circuitry to receive a profile of the neural network. The profile may be received from a compiler and include information regarding a plurality of layers of the neural network. Responsive to the profile and the information regarding the plurality of layers, circuitry may adjust, using a local power management unit (PMU) included the apparatus, a power level to the accelerator while the accelerator executes the neural network. The power level adjustment may be based on whether the particular layer is a compute-intensive layer or a memory-intensive layer.

Abstract: A system includes a compute circuit that preemptively performs a computation on a data word before receiving an indication of data errors from an error checking and correction (ECC) circuit. The ECC circuit reads the data word from a memory array and performs error detection and error correction on the data word. The compute circuit reads the data word and performs the computation on the data word to generate an output value, without waiting for the ECC circuit to check and correct the data word. In response to error detection in the data word by the ECC circuit, the compute circuit delays outputting the output value until correction of the output value in accordance with the error detection by the ECC circuit.

Abstract: An ultra-deep compute Static Random Access Memory (SRAM) with high compute throughput and multi-directional data transfer capability is provided. Compute units are placed in both horizontal and vertical directions to achieve a symmetric layout while enabling communication between the compute units. An SRAM array supports simultaneous read and write to the left and right section of the same SRAM subarray by duplicating pre-decoding logic inside the SRAM array. This allows applications with non-overlapping read and write address spaces to have twice the bandwidth as compared to a baseline SRAM array.

Abstract: Embodiments include apparatuses, methods, and systems to implement a multi-read and/or multi-write process with a set of memory cells. The set of memory cells may be multiplexed with a same sense amplifier. As part of a multi-read process, a memory controller coupled to a memory circuit may precharge the bit lines associated with the set of memory cells, provide a single assertion of a word line signal on the word line, and then sequentially read data from the set of memory cells (using the sense amplifier) based on the precharge and the single assertion of the word line signal. Additionally, or alternatively, a multi-write process may be performed to sequentially write data to the set of memory cells based on one precharge of the associated bit lines. Other embodiments may be described and claimed.

Abstract: A system includes a compute circuit that preemptively performs a computation on a data word before receiving an indication of data errors from an error checking and correction (ECC) circuit. The ECC circuit reads the data word from a memory array and performs error detection and error correction on the data word. The compute circuit reads the data word and performs the computation on the data word to generate an output value, without waiting for the ECC circuit to check and correct the data word. In response to error detection in the data word by the ECC circuit, the compute circuit delays outputting the output value until correction of the output value in accordance with the error detection by the ECC circuit.

Abstract: Embodiments include apparatuses, methods, and systems to implement a multi-read and/or multi-write process with a set of memory cells. The set of memory cells may be multiplexed with a same sense amplifier. As part of a multi-read process, a memory controller coupled to a memory circuit may precharge the bit lines associated with the set of memory cells, provide a single assertion of a word line signal on the word line, and then sequentially read data from the set of memory cells (using the sense amplifier) based on the precharge and the single assertion of the word line signal. Additionally, or alternatively, a multi-write process may be performed to sequentially write data to the set of memory cells based on one precharge of the associated bit lines. Other embodiments may be described and claimed.

Abstract: An apparatus, vision processing unit, and method are provided for clustering motion events in a content addressable memory. A motion event is received including coordinates in an image frame that have experienced a change and a timestamp of the change. A determination is made as to whether determine whether there is a valid entry in the memory having coordinates within a predefined range of coordinates included in the motion event. In response to a determination that there is the valid entry having the coordinates within the predefined range of coordinates included in the motion event, write to the valid entry the coordinates and the timestamp in the motion event.

Abstract: A spike sent from a first artificial neuron in a spiking neural network (SNN) to a second artificial neuron in the SNN is identified, with the spike sent over a particular artificial synapse in the SNN. The membrane potential of the second artificial neuron at a particular time step, corresponding to sending of the spike, is compared to a threshold potential, where the threshold potential is set lower than a firing potential of the second artificial neuron. A change to the synaptic weight of the particular artificial synapse is determined based on the spike, where the synaptic weight is to be decreased if the membrane potential of the second artificial neuron is lower than the threshold potential at the particular time step and the synaptic weight is to be increased if the membrane potential of the second artificial neuron is higher than the threshold potential at the particular time step.

Abstract: Described is an apparatus which comprises: a plurality of transistors coupled to an input power supply and to a load; a first comparator with a first node coupled to the load, and a second node coupled to a first reference; a second comparator with a first node coupled to the load, and a second node coupled to a second reference, the second reference being different from the first reference; and a logic unit to receive output of the first comparator and output of the second comparator, the logic unit to turn on or off transistors of the plurality of transistors according to outputs of the first and second comparators.

Abstract: Embodiments include apparatuses, methods, and systems to implement a multi-read and/or multi-write process with a set of memory cells. The set of memory cells may be multiplexed with a same sense amplifier. As part of a multi-read process, a memory controller coupled to a memory circuit may precharge the bit lines associated with the set of memory cells, provide a single assertion of a word line signal on the word line, and then sequentially read data from the set of memory cells (using the sense amplifier) based on the precharge and the single assertion of the word line signal. Additionally, or alternatively, a multi-write process may be performed to sequentially write data to the set of memory cells based on one precharge of the associated bit lines. Other embodiments may be described and claimed.

Abstract: A processor or integrated circuit includes a memory to store weight values for a plurality neuromorphic states and a circuitry coupled to the memory. The circuitry is to detect an incoming data signal for a pre-synaptic neuromorphic state and initiate a time window for the pre-synaptic neuromorphic state in response to detecting the incoming data signal. The circuitry is further to, responsive to detecting an end of the time window: retrieve, from the memory, a weight value for a post-synaptic neuromorphic state for which an outgoing data signal is generated during the time window, the post-synaptic neuromorphic state being a fan-out connection of the pre-synaptic neuromorphic state; perform a causal update to the weight value, according to a learning function, to generate an updated weight value; and store the updated weight value back to the memory.

Abstract: An ultra-deep compute Static Random Access Memory (SRAM) with high compute throughput and multi-directional data transfer capability is provided. Compute units are placed in both horizontal and vertical directions to achieve a symmetric layout while enabling communication between the compute units. An SRAM array supports simultaneous read and write to the left and right section of the same SRAM subarray by duplicating pre-decoding logic inside the SRAM array. This allows applications with non-overlapping read and write address spaces to have twice the bandwidth as compared to a baseline SRAM array.

Abstract: Switched adaptive clocking is provided. A switched adaptive clocking circuit includes a digitally controlled oscillator, a clock generator and a glitch-free multiplexer. The switched adaptive clocking circuit to adaptively switch a source of an output clock from a main clock generated by a clock source to a digitally controlled oscillator clock generated by a digitally controlled oscillator upon detection of a voltage droop, and to quickly switch back to the main clock after recovery from the voltage droop.

Abstract: Described is an apparatus which comprises: a plurality of transistors coupled to an input power supply and to a load; a first comparator with a first node coupled to the load, and a second node coupled to a first reference; a second comparator with a first node coupled to the load, and a second node coupled to a second reference, the second reference being different from the first reference; and a logic unit to receive output of the first comparator and output of the second comparator, the logic unit to turn on or off transistors of the plurality of transistors according to outputs of the first and second comparators.

Abstract: Apparatuses, methods and storage media associated with single-ended sensing array design are disclosed herein. In embodiments, a memory device may include bitcell arrays, clipper circuitry, read merge circuitry, and a set dominant latch (SDL). The clipper circuitry may be coupled to a read port node of a first bitcell array of the bitcell arrays and a local bitline (LBL) node, the clipper circuitry to provide a voltage drop between the read port node and the LBL node. The read merge circuitry coupled to the clipper circuitry at the LBL node, the read merge circuitry to drive a value of a global bitline (GBL) node based on a value of the LBL node. The SDL coupled to the GBL node to sense the value of the GBL node. Other embodiments may be described and/or claimed.

Abstract: An apparatus is described. The apparatus includes a nearest neighbor search circuit to perform a search according to a first stage search and a second stage search. The nearest neighbor search circuit includes a first stage circuit and a second stage circuit. The first stage search circuit includes a hash logic circuit and a content addressable memory. The hash logic circuit is to generate a hash word from a input query vector. The hash word has B bands. The content addressable memory is to store hashes of a random access memory's data items. The hashes each have B bands. The content addressable memory is to compare the hashes against the hash word on a sequential band-by-band basis. The second stage circuit char the random access memory and a compare and sort circuit. The compare and sort circuit is to receive the input query vector. The random access memory has crosswise bit lines coupled to the compare and sort circuit.

Abstract: An apparatus is described. The apparatus includes a memory controller to interface with a memory side cache and an NVRAM system memory. The memory controller has logic circuitry to favor items cached in the memory side cache that are expected to be written to above items cached in the memory side cache that are expected to only be read from.