Abstract: A resin composition includes resin and inorganic filler. The resin includes liquid rubber resin, polyphenylene ether resin, and a crosslinking agent. Compared to a total of 100 parts by mass of the resin, the usage amount of the inorganic filler is at least greater than or equal to 40 parts by mass.

Abstract: A package structure including a photonic, an electronic die, an encapsulant and a waveguide is provided. The photonic die includes an optical coupler. The electronic die is electrically coupled to the photonic die. The encapsulant laterally encapsulates the photonic die and the electronic die. The waveguide is disposed over the encapsulant and includes an upper surface facing away from the encapsulant. The waveguide includes a first end portion and a second end portion, the first end portion is optically coupled to the optical coupler, and the second end portion has a groove on the upper surface.

Abstract: A package includes a photonic layer on a substrate, the photonic layer including a silicon waveguide coupled to a grating coupler; an interconnect structure over the photonic layer; an electronic die and a first dielectric layer over the interconnect structure, where the electronic die is connected to the interconnect structure; a first substrate bonded to the electronic die and the first dielectric layer; a socket attached to a top surface of the first substrate; and a fiber holder coupled to the first substrate through the socket, where the fiber holder includes a prism that re-orients an optical path of an optical signal.

Abstract: A powder composition includes a first powder, a second powder, and a modified functional group. A particle size range of the first powder is between 1 micron and 100 microns. The second powder and the modified functional group are modified on the first powder. A particle size range of the second powder is between 10 nanometers and 1 micron. A manufacturing method of a powder composition is also provided.

Abstract: A microelectromechanical system (MEMS) structure and method of forming the MEMS device, including forming a first metallization structure over a complementary metal-oxide-semiconductor (CMOS) wafer, where the first metallization structure includes a first sacrificial oxide layer and a first metal contact pad. A second metallization structure is formed over a MEMS wafer, where the second metallization structure includes a second sacrificial oxide layer and a second metal contact pad. The first metallization structure and second metallization structure are then bonded together. After the first metallization structure and second metallization structure are bonded together, patterning and etching the MEMS wafer to form a MEMS element over the second sacrificial oxide layer. After the MEMS element is formed, removing the first sacrificial oxide layer and second sacrificial oxide layer to allow the MEMS element to move freely about an axis.

Abstract: A rubber resin material with high dielectric constant and a metal substrate with high dielectric constant are provided. The rubber resin material with high dielectric constant includes a rubber resin composition with high dielectric constant and inorganic fillers. The rubber resin composition with high dielectric constant includes: 40 wt % to 70 wt % of a liquid rubber, 10 wt % to 30 wt % of a polyphenylene ether resin, and 20 wt % to 40 wt % of a crosslinker. A molecular weight of the liquid rubber ranges from 800 g/mol to 6000 g/mol. A dielectric constant of the rubber resin material with high dielectric constant is higher than or equal to 2.0.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A computer-implemented method obtains data describing a plurality of synthesis scenarios associated with a very-large-scale integration design (VLSI), wherein each synthesis scenario describes a different combination of tunable design parameters for a macro of the VLSI design, and wherein the VLSI design includes a plurality of macros being tuned. The plurality of macros is ranked based on the data. The ranking produces a macro waiting list that identifies those of the synthesis scenarios that are associated with each of the macros. A subset of the synthesis scenarios is pushed from the macro waiting list to a job submission queue that is separate from the macro waiting list. The job submission queue ranks the subset of synthesis scenarios in an order in which they are to be synthesized by a synthesis tuning system. At least one synthesis scenario is submitted to the synthesis tuning system according to the order.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.