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In this paper we present the design and implementation of a dynamic instrumentation infrastructure for PTX programs that procedurally transforms kernels and manages related data structures. We show how performing instrumentation within the GPU Ocelot dynamic compiler infrastructure provides unique capabilities not available to other profiling and(More)
As parallel execution platforms continue to proliferate, there is a growing need for real-time introspection tools to provide insight into platform behavior for performance debugging, correctness checks, and to drive effective resource management schemes. To address this need, we present the Lynx dynamic instrumentation system. Lynx provides the capability(More)
Dynamic instrumentation of GPGPU binaries makes possible real-time introspection methods for performance debugging, correctness checks, workload characterization, and runtime optimization. Such instrumentation involves inserting code at the instruction level of an application, while the application is running, thereby able to accurately profile(More)
Invasive pulmonary aspergillosis in immunocompromised patients (ICP) is the second most frequent opportunistic fungal infection. The causative organism includes 16 species of Aspergillus, of which A. fumigatus dominates the ubiquitous incidence of invasive or allergic broncho-pulmonary aspergillosis (ABPA). The definitive diagnosis of invasive aspergillosis(More)
The opportunistic imperfect fungus Candida albicans causing life-threatening infections in immunocompromised patients (ICP), especially in HIV-positive cases, is recognized to be one of the most important nosocomial pathogens in the recent decades. The extent of strain-to-strain variation within a species and its relationship to the ability of the organism(More)
Parallel architectures like GPUs are a tantalizing compute fabric for performance-hungry developers. While GPUs enable order-of-magnitude performance increases in many data-parallel application domains, writing efficient codes that can actually manifest those increases is a non-trivial endeavor, typically requiring developers to exercise specialized(More)
Recent integrated CPU-GPU processors like Intel's Broadwell and AMD's Kaveri support hardware CPU-GPU shared virtual memory, atomic operations, and memory coherency. This enables fine-grained CPU-GPU work-stealing, but architectural differences between the CPU and GPU hurt the performance of traditionally-implemented work-stealing on such processors. These(More)
Moving toward exascale, the number of GPUs in HPC machines is bound to increase, and applications will spend increasing amounts of time running on those GPU devices. While GPU usage has already led to substantial speedup for HPC codes, their failure rates due to overheating are at least 10 times higher than those seen for the CPUs now commonly used on HPC(More)
Integrated GPU platforms are a cost-effective and energy-efficient option for accelerating data-intensive applications. While these platforms have reduced overhead of offloading computation to the GPU and potential for fine-grained resource scheduling, there remain several open challenges. First, substantial application knowledge is required to leverage GPU(More)
Explicitly software managed cache systems are postulated as a solution for power considerations in computing devices. The savings expected in a SoftCache lies in the removal of tag storage, associativity logic, comparators, and other hardware dedicated to memory hierarchies. The penalty lies in high cache-miss cost and additional instructions required to(More)