Abstract: An apparatus includes a first port set that includes an input port and an output port. The apparatus further includes a plurality of second port sets. Each of the second port sets includes an input port coupled to the output port of the first port set and an output port coupled to the input port of the first port set. The plurality of second port sets are to each communicate at a first maximum bandwidth and the first port set is to communicate at a second maximum bandwidth that is higher than the first maximum bandwidth.

Abstract: Systems, apparatuses and methods may provide for technology that conduct a first alignment between a plurality of floating-point numbers based on a first subset of exponent bits. The technology may also conduct, at least partially in parallel with the first alignment, a second alignment between the plurality of floating-point numbers based on a second subset of exponent bits, where the first subset of exponent bits are LSBs and the second subset of exponent bits are MSBs. In one example, technology adds the aligned plurality of floating-point numbers to one another. With regard to the second alignment, the technology may also identify individual exponents of a plurality of floating-point numbers, identify a maximum exponent across the individual exponents, and conduct a subtraction of the individual exponents from the maximum exponent, where the subtraction is conducted from MSB to LSB.

Abstract: A system can include a tubular member to be inserted into an esophagus of a patient and a catheter assembly that includes a catheter tube that defines a length greater than a length of the tubular member and is configured to pass through a channel of the tubular member such that a distal tip of the catheter tube extends distally past the distal tip of the tubular member while the tubular member is positioned in the esophagus of the patient. The distal tip of the catheter tube defines a cutting element to core a blockage positioned in the esophagus of the patient. Advancement of the distal tip of the catheter tube into contact with the blockage can core a piece from the blockage that is passed through the catheter tube.

Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.

Abstract: Methods, apparatuses, and systems for making prepregs are disclosed. A method may include depositing a resin material onto a surface of a fiber bed and forming a number of discrete resin regions thereon. A distance between the resin regions may be measured to provide desired exposed portions of the surface to facilitate permeation of air through the exposed portions of the surface in a direction perpendicular to a plane of the fiber bed during a curing process of the prepreg.

Abstract: Systems, apparatuses and methods may provide for multi-precision multiply-accumulate (MAC) technology that includes a plurality of arithmetic blocks, wherein the plurality of arithmetic blocks each contain multiple multipliers, and wherein the logic is to combine multipliers one or more of within each arithmetic block or across multiple arithmetic blocks. In one example, one or more intermediate multipliers are of a size that is less than precisions supported by arithmetic blocks containing the one or more intermediate multipliers.

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.

Abstract: A system for clearing a blockage in a patient can include a tubular member that defines a channel and is insertable into an esophagus of the patient. The system can include a catheter assembly that includes a catheter tube defining a length greater than a length of the tubular member and being passable through the channel of the tubular member. The catheter tube can include a distal tip that defines a cutting element to core the blockage positioned in the esophagus. The catheter assembly can further include a catheter hub fixedly secured to the catheter tube and couplable with a vacuum line such that, when suction is provided via the vacuum line, advancement of the catheter tube into contact with the blockage cores a piece from the blockage that is passed through the catheter tube.

Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.

Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.

Abstract: Projectile loading systems for toy launchers that discharge soft spherical, but tacky, projectiles, the loading systems including a projectile hopper for storing the projectiles, a chute at the bottom of the hopper, the chute having a central groove for lining the projectiles in a single file, an agitator in the hopper for disturbing the tacky projectiles in the hopper to separate them, and a projectile transfer structure for carrying a projectile, one at a time, from the chute to a breech or from a feed track during respective priming cycles.

Abstract: Some embodiments include apparatuses having a first circuit path including drive units coupled in series between a first node and a first additional node, a second circuit path including drive units coupled in series between a second node and a second additional node, each drive unit of the driver units of the first circuit path and the second circuit path including an inverter, and a transmission gate circuit including an input node and an output node coupled to an input node and an output node, respectively, of the inverter; and control circuitry to provide control information to the transmission gate circuit of each of the driver units of the first circuit path and the second circuit path.

Abstract: Embodiments disclosed herein include interconnect layers that include non-uniform interconnect heights and methods of forming such devices. In an embodiment, an interconnect layer comprises an interlayer dielectric (ILD), a first interconnect disposed in the ILD, wherein the first interconnect has a first height, and a second interconnect disposed in the ILD, wherein the second interconnect has a second height that is different than the first height.

Abstract: Embodiments disclosed herein include a semiconductor device with interconnects with non-uniform heights. In an embodiment, the semiconductor device comprises a semiconductor substrate, and a back end of line (BEOL) stack over the semiconductor substrate. In an embodiment, the BEOL stack comprises first interconnects and second interconnects in an interconnect layer of the BEOL stack. In an embodiment, the first interconnects have a first height and the second interconnects have a second height that is different than the first height.

Abstract: Disclosed embodiments relate to a variable format, variable sparsity matrix multiplication (VFVSMM) instruction. In one example, a processor includes fetch and decode circuitry to fetch and decode a VFVSMM instruction specifying locations of A, B, and C matrices having (M×K), (K×N), and (M×N) elements, respectively, execution circuitry, responsive to the decoded VFVSMM instruction, to: route each row of the specified A matrix, staggering subsequent rows, into corresponding rows of a (M×N) processing array, and route each column of the specified B matrix, staggering subsequent columns, into corresponding columns of the processing array, wherein each of the processing units is to generate K products of A-matrix elements and matching B-matrix elements having a same row address as a column address of the A-matrix element, and to accumulate each generated product with a corresponding C-matrix element.

Abstract: A method can include introducing a device into a lung of a patient to a site of a material lodged in the lung. The device can include a distal end configured to core the material, a proximal end, and a tube that includes a hollow interior. The method can further include coring from the material a piece that is sized to pass through the hollow interior of the tube using the distal end of the device. The method can further include applying suction to the proximal end of the device to pass the piece through the hollow interior of the tube and out of the device through the proximal end. Other and further methods are also disclosed.

Abstract: A device is configured to clear a bolus of food impacted within an esophagus, the device including a catheter tube having a hollow interior and a distal end configured to core the bolus of food and a proximal end configured to be coupled to a source of suction to clear the core.

Abstract: A configurable integrated circuit to compute vector dot products between a first N-bit vector and a second N-bit vector in a plurality of precision modes. An embodiment includes M slices, each of which calculates the vector dot products between a corresponding segment of the first and the second N-bit vectors. Each of the slices outputs intermediary multiplier results for the lower precision modes, but not for highest precision mode. A plurality of adder trees to sum up the plurality of intermediate multiplier results, with each adder tree producing a respective adder out result. An accumulator to merge the adder out result from a first adder tree with the adder out result from a second adder tree to produce the vector dot product of the first and the second N-bit vector in the highest precision mode.

Abstract: Disclosed embodiments relate to a variable format, variable sparsity matrix multiplication (VFVSMM) instruction. In one example, a processor includes fetch and decode circuitry to fetch and decode a VFVSMM instruction specifying locations of A, B, and C matrices having (M×K), (K×N), and (M×N) elements, respectively, execution circuitry, responsive to the decoded VFVSMM instruction, to: route each row of the specified A matrix, staggering subsequent rows, into corresponding rows of a (M×N) processing array, and route each column of the specified B matrix, staggering subsequent columns, into corresponding columns of the processing array, wherein each of the processing units is to generate K products of A-matrix elements and matching B-matrix elements having a same row address as a column address of the A-matrix element, and to accumulate each generated product with a corresponding C-matrix element.