OBJECTIVE To describe complications and outcomes of dogs undergoing unilateral thyroidectomy for the treatment of thyroid tumors. ANIMALS 156 dogs undergoing unilateral thyroidectomy for a naturally occurring thyroid tumor. PROCEDURES Dogs that underwent a unilateral thyroidectomy in 2003 through 2015 were included in a multi-institutional retrospective study. For each dog, information gathered through evaluation of electronic and paper records included perioperative complications, short-term outcome (survival to discharge from the hospital vs nonsurvival), and long-term outcome (survival time). RESULTS In the perioperative period, complications occurred in 31 of the 156 (19.9%) dogs; hemorrhage was the most common intraoperative complication (12 [7.7%] dogs). Five of 156 (3.2%) dogs received a blood transfusion; these 5 dogs were among the 12 dogs that had hemorrhage listed as an intraoperative complication. Immediately after surgery, the most common complication was aspiration pneumonia (5 [3.2%] dogs). One hundred fifty-three of 156 (98.1%) dogs that underwent unilateral thyroidectomy survived to discharge from the hospital. One hundred-thirteen dogs were lost to follow-up; from the available data, the median survival time was 911 days (95% confidence interval, 704 to 1,466 days). CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that unilateral thyroidectomy in dogs with a naturally occurring thyroid tumor was associated with a perioperative mortality rate of 1.9% and a complication rate of 19.9% and that hemorrhage and aspiration pneumonia were the most common complications. Long-term survival of dogs undergoing unilateral thyroidectomy for the treatment of thyroid tumors was not uncommon.
An oil/water, 3–D fully implicit Reservoir Simulator has been implemented on the ICL Distributed Array Processor (DAP), by a joint BNOC/ICL project team. The DAP is a single instruction, multiple data stream machine with 4096 processors in parallel. The major computational areas of code have been implemented on the DAP, leaving I/O and well calculations as serial code on the host 2976 machine. Matrix assembly is inherently parallel and can be implemented easily and efficiently on the DAP with compact code. Table look-up, though not obviously parallel, has been coded using a very efficient parallel, has been coded using a very efficient parallel algorithm. parallel algorithm. The Linear Solver, of Line Gauss-Seidel type, has been chosen for its efficiency on the DAP, with odd and even reduction used for solution of the resulting tri-diagonal equations. Further research will be undertaken to increase the robustness of this solver. The initial implementation has a 1-1 mapping of active grid blocks to processors, thus allowing up to 4096 active grid blocks. It is planned to extend to much larger models, and to 3 phase. Introduction A joint British National Oil Corporation/ International Computers Ltd project was set up in May 1980 to run until October 1982 to implement an oil reservoir simulator on an ICL Distributed Array Processor (DAP). Processor (DAP). Major objectives of the project are:to produce a reservoir simulator which would be a cost effective working tool for BNOC engineers and potentially marketable to the oil industry.to assess the capability of the DAP and associated software to perform this task and to recommend enhancements and changes to ICL.to develop expertise in parallel processing. An initial study recommended that an existing simulator, PORES be modified, with suitable sections of code being replaced by parallel DAP code. The parallel version has been called DARSI (DAp Reservoir SImulator). The initial study concluded that DARSI on the DAP could be about 3 times faster than PORES on an IBM 3033U for suitable problems (appx. 4000 blocks). Because of memory limitations, DARSI would use the less robust of the two PORES solution options and therefore might not solve all problems solved by PORES. DARSI has so far achieved 1.5 times PORES on the IBM on a 2000 block problem. The problem with the less robust solution algorithm remains. This paper describes the first phase of the project, namely the implementation of the oil/water, project, namely the implementation of the oil/water, three dimensional code. THE MACHINE DAP HARDWARE The DAP is a single instruction multiple data stream machine. It has 4096 processors (called processing elements or pe's) in a 64 × 64 square with processing elements or pe's) in a 64 × 64 square with hard-wired neighbour connections. See Figure 1. Each processing element contains a 1 bit Arithmetic Logic Unit, and 4K bits of store, making the total size of the machine 2 Megabytes. Data may be stored vertically (matrix mode) or horizontally (vector and scalar mode). See Figure 2. Instructions are broadcast to each pe by the Master Control Unit (MCU) which sequences through a set of instructions in the conventional manner. Each pe has an 'activity bit' which when unset 'switches pe has an 'activity bit' which when unset 'switches off' the pe for that particular instruction; this allows selective use of a subset of the 4096 processors. P. 523
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