José Cruz-Rivera

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Smart pixel architectures offer important new opportunities for low cost, portable image processing systems. They provide greater I/O bandwidth and computing performance than systems based on CCD and microprocessors. However, finding a balance between performance, flexibility, efficiency, and cost depends on an evaluation of target applications. This paper(More)
Real-time image processing requires high computational and I/O throughputs obtained by use of optoelectronic system solutions. A novel architecture that uses focal-plane optoelectronic-area I/O with a fine-grain, low-memory, single-instruction-multiple-data (SIMD) processor array is presented as an efficient computational solution for real-time(More)
Real-time image processing applications have tremendous computational workloads and I/O throughput requirements. Operation in mobile, portable devices poses stringent resource limitations (size, weight, and power). The SIMD Pixel Processor (SIMPil) has been designed at Georgia Tech to address these problems. In SIMPil, an image sensor array (focal plane) is(More)
This paper introduces Pica, a fine-grain, message passing architecture designed to efficiently support high-throughput parallel applications. This focus on high-throughput applications allows a small local memory of 4096 36-bit words. The architecture minimizes overhead for basic parallel operations. An operand-addressed context cache and round-robin task(More)
Three-dimensional packaging technologies are critical for enabling ultra-compact, massively parallel processors (MPPs) for embedded applications. Through-wafer optical interconnect has been proposed as a useful technology for building ultra-compact MPPs since it provides a simplified mechanism for interconnecting stacked multichip substrates. This paper(More)
Recent architectural and technological advances have led to the feasibility of a new class of massively parallel processing systems based on a fine-grain, message-passing computational model. These machines provide a new alternative for the development of fast, cost-efficient Maximum Likelihood-Expectation Maximization (ML-EM) algorithmic formulations. As(More)
This paper introduces a new network topology, the ooset-cube, for three-dimensional image processing systems. It provides general node-to-node communications for random message traac with an average latency that is comparable to a k-ary 3-cube. It is well suited for communication patterns common in image processing applications (e.g., image scaling,(More)
Advances in VLSI and optoelectronic multichip module technologiesare enabling the construction of ultracompact massively parallelprocessing systems. The technological parameters that define thewirability and delay characteristics of these technologies have asignificant impact on the system architecture. An analytical modelis presented that allows the design(More)
Future military scenarios will rely on advanced imaging sensor technology beyond the visible spectrum to gain total battlefield awareness. Real-time processing of these data streams requires tremendous computational workloads and I/O throughputs. This paper presents three applications for hyper-spectral data streams, vector quantization, region autofocus,(More)