Abstract: Systems and methods for MBIR reconstruction utilizing a super-voxel approach are provided. A super-voxel algorithm is an optimization algorithm that, as with ICD, produces rapid and geometrically agnostic convergence to the MBIR reconstruction by processing super-voxels which comprise a plurality of voxels whose corresponding memory entries substantially overlap. The voxels in the super-voxel may also be localized or adjacent to one another in the image. In addition, the super-voxel algorithm straightens the memory in the “sinogram” that contains the measured CT data so that both data and intermediate results of the computation can be efficiently accessed from high-speed memory and cache on a computer, GPU, or other high-performance computing hardware. Therefore, each iteration of the super-voxel algorithm runs much faster by more efficiently using the computing hardware.

Abstract: This invention describes a method and several variants for compiling programs or components of programs in a mixed static and dynamic environment, so as to reduce the amount of time and memory spent in run-time compilation, or to exercise greater control over testing of the executable code for the program, or both. The invention involves generating persistent code images prior to program execution based on static compilation or dynamic compilation from a previous run, and then, adapting those images during program execution. We describe a method for generating auxiliary information in addition to the executable code that is recorded in the persistent code image. Further, we describe a method for checking the validity of those code images, adapting those images to the new execution context, and generating new executable code to respond to dynamic events, during program execution.

Abstract: A method and several variants for using information about the scope of access of objects acted upon by mutual exclusion, or mutex, locks to transform a computer program by eliminating locking operations from the program or simplifying the locking operations, while strictly performing the semantics of the original program. In particular, if it can be determined by a compiler that the object locked can only be accessed by a single thread it is not necessary to perform the “acquire” or “release” part of the locking operation, and only its side effects must be performed. Likewise, if it can be determined that the side effects of a locking operation acting on a variable which is locked in multiple threads are not needed, then only the locking operation, and not the side effects, needs to be performed.

Abstract: Information is computed about the reachability relationships among objects and pointers to enable transformation of a computer program for optimizing the creation and destruction of objects, while strictly performing the semantics of the original program. An interprocedural analysis is used to determine whether an object that is allocated on the heap during the execution of a procedure is not reachable from any global variable, parameter, or the return value of the procedure after it returns. If so, that object can be allocated on the stack frame of the procedure in which it is otherwise heap-allocated. This simplifies the memory allocation and deallocation operations, as allocation on the stack can be done more efficiently than allocation on the heap, and objects allocated on the stack frame of a procedure are automatically deallocated when the procedure returns, without incurring the overhead of garbage collection.

Abstract: A method and several variants for optimizing the detection of out of bounds array references in computer programs are described, while preserving the semantics of the computer program. Depending on the variant implemented, the program is divided at run-time or compile-time into two or more regions. The regions are differentiated by the number of checks that need to be performed at run-time on the array accesses within the region. In particular, some regions of the program will not need any array bounds checks performed at run-time, which will increase the speed at which the computer program executes. As well, the state of program variables at the time any out of bounds access is detected is the same as the state of the program variables would have been had the transformation not been performed. Moreover, the regions not needing any checks at run-time will be known at compile-time, enabling further compiler optimizations on the region.