Systems and methods of modeling the structure and behavior of the quantum continuum based on geometrical principles are provided. In some embodiments, systems and methods of modeling quantum structure and behavior may include modeling a region of space as a three-dimensional projection of a field of N-dimensional hard-spheres, modeling a stable particle within the region of space as a locally stably packed set of hard-spheres, defining an energy subspace comprising one or more additional dimensions, and modeling an energy of the stable particle as an amount of hard-sphere geometry shifted out of the three spatial dimensions into the energy subspace sufficient for the set of hard-spheres to pack stably.

Examples of the present disclosure provide apparatuses and methods for performing signed division operations. An apparatus can include a first group of memory cells coupled to a sense line and to a number of first access lines. The apparatus can include a second group of memory cells coupled to the sense line and to a number of second access lines. The apparatus can include a controller configured to operate sensing circuitry to divide a signed dividend element stored in the first group of memory cells by a signed divisor element stored in the second group of memory cells by performing a number of operations.

A batched Cholesky decomposition method, system, and non-transitory computer readable medium for a Graphics Processing Unit (GPU), include mirroring matrices to form paired matrices solving the paired matrices simultaneously.

A floating point adder includes leading zero anticipation circuitry to determine a number of leading zeros within a result significand value of a sum of a first floating point operand and a second floating point operand. This number of leading zeros is used to generate a mask which in turn selects input bits from a non-normalized significand produced by adding the first significand value and the second significand value. The non-normalized significand is then normalized at the same time as the output rounding bits used to round the normalized significand value are generated by rounding bit generation circuitry.

An integrated circuit may include a floating-point adder that supports variable precisions. The floating-point adder may receive first and second inputs to be added, where the first and second inputs each have a mantissa and an exponent. The mantissa and exponent values may be split into a near path and a far path using a dual path floating-point adder architecture depending on the difference of the exponents and on whether an addition or subtraction is being performed. The mantissa values may be left justified, while the sticky bits are right justified. The hardware for the largest mantissa can be used to support the calculations for the smaller mantissas using no additional arithmetic structures, with only some multiplexing and decoding logic.

Examples of the present disclosure provide apparatuses and methods for performing signed division operations. An apparatus can include a first group of memory cells coupled to a sense line and to a number of first access lines. The apparatus can include a second group of memory cells coupled to the sense line and to a number of second access lines. The apparatus can include a controller configured to operate sensing circuitry to divide a signed dividend element stored in the first group of memory cells by a signed divisor element stored in the second group of memory cells by performing a number of operations.

An integrated circuit may include normalization circuitry that can be used when converting a fixed-point number to a floating-point number. The normalization circuitry may include at least a floating-point generation circuit that receives the fixed-point number and that creates a corresponding floating-point number. The normalization circuitry may then leverage an embedded digital signal processing (DSP) block on the integrated circuit to perform an arithmetic operation by removing the leading one from the created floating-point number. The resulting number may have a fractional component and an exponent value, which can then be used to derive the final normalized value.

A batched Cholesky decomposition method, system, and non-transitory computer readable medium for a Graphics Processing Unit (GPU), include mirroring a second problem matrix of a second problem to a first problem matrix of a first problem as paired matrices and shifting the second problem by N+1, combining the first problem matrix and the mirrored second problem matrix into one matrix of (N+1)?N, and reading the fixed size data length of the one square matrix with a fixed data interval for both the first problem and the second problem.

Systems and methods for using single-precision floating-point operation digital signal processing (DSP) blocks in conjunction to perform double-precision floating-point operations.

A batched Cholesky decomposition method, system, and non-transitory computer readable medium for a Graphics Processing Unit (GPU) including at least a first problem and a second problem, include mirroring a second problem matrix of the second problem to a first problem matrix of the first problem, combining the first problem matrix and the mirrored second problem matrix into a single problem matrix, and allocating data read to a thread and to the first problem and the second problem, respectively.