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PHP is the dominant server-side scripting language used to implement dynamic web content. Just-in-time compilation, as implemented in Facebook's state-of-the-art HipHopVM, helps mitigate the poor performance of PHP, but substantial overheads remain, especially for realistic, large-scale PHP applications. This paper analyzes such applications and shows that there is little opportunity for conventional...
Due to technology scaling, which means smaller transistor, lower voltage and more aggressive clock frequency, VLSI devices are becoming more susceptible against soft errors. Especially for those devices deployed in safety- and mission-critical applications, dependability and reliability are becoming increasingly important constraints during the development of system on/around them. Other phenomena...
Lightweight block ciphers are an important topic of research in the context of the Internet of Things (IoT). Current cryptographic contests and standardization efforts seek to benchmark lightweight ciphers in both hardware and software. Although there have been several benchmarking studies of both hardware and software implementations of lightweight ciphers, direct comparison of hardware and software...
Hardware design is an essential part of research in high performance computing. Initial efforts in hardware research consist of analyzing the design ideas in a software simulator. This allows chip designers to minimize amount of manufacturing that would be too costly and to avoid doing FPGA designs which are even more time consuming. Simulating a hardware design involves running many tests that try...
Early design-space evaluation of computer-systems is usually performed using performance models such as detailed simulators, RTL-based models etc. Unfortunately, it is very challenging (often impossible) to run many emerging applications on detailed performance models owing to their complex application software-stacks, significantly long run times, system dependencies and the limited speed/potential...
There are many available NAT64 implementations, but we can not measure their performance per the standards, due to the lack of complaint testers. The aim of our effort is to design and write the first implementation of a test program that could provide the first answer to these needs. For benchmarking Network Interconnect Devices we could use the recommendation of the 2544 (IP version independent)...
Memory subsystems are a major energy bottleneck in computing platforms due to frequent transfers between processors and off-chip memory. We propose approximate memory compression, a technique that leverages the intrinsic resilience of emerging workloads such as machine learning and data analytics to reduce off-chip memory traffic and energy. To realize approximate memory compression, we enhance the...
We present a versatile FPGA-based evaluation platformfor exploring alternative execution strategies on disaggregatedenvironments for applications, considering differentprocessing block types: compute cores, memory, and accelerators. Developers can interconnect different blocks types in orderto create optimal configurations. A user-level software libraryallows quick mapping of applications on real...
Genomics is a Big Data science, the rate of increase in DNA sequencing is significantly exceeding the rate of increase in storage capacity, study shows the genomics data generation will exceed Twitter, YouTube, and astrophysics data combined by the year 2025. Storage and data management have become one of the most challenging bottlenecks in genomics and life sciences research. Data compression is...
In today's multicore architectures, complex interactions between applications in the memory system can have a significant and highly variable impact on application execution time. System designers typically use hardware counters to profile execution behaviours and diagnose performance problems. However, hardware counters are not always sufficient and some problems are best identified with full memory...
In order to compare and rank the worlds fastest computers, benchmarks evaluating their performance are required. A single execution of HPL is used for the most widely recognized ranking: the TOP500. Lately, two benchmarks, arguably more representative of typical modern workloads, have been proposed: HPCG and HPGMG. Currently, all three benchmarks use the highest observed performance from a single...
The stencil pattern represents a vast variety of applications, ranging from geophysics to medical science. In application codes, the stencil kernel is often the part where most of the time is spent, thus forcing an efficient parallel implementation of it. On the other side we know that stencil computations are often memory-bound, which requires sophisticated parallelization techniques to get scalable...
Modern computing systems are hybrid in nature and employ various processing technologies that range from specific-to general-purpose processors. In co-design environments, specific-purpose processors, also known as hardware, work to support software implementations under general-purpose systems to create high-performance computers. Algorithms and computationally intensive tasks are partitioned among...
Latency-critical applications, common in datacenters, must achieve small and predictable tail (e.g., 95th or 99th percentile) latencies. Their strict performance requirements limit utilization and efficiency in current datacenters. These problems have sparked research in hardware and software techniques that target tail latency. However, research in this area is hampered by the lack of a comprehensive...
HW/SW co-designed processors currently have a renewed interest due to their capability to boost performance without running into the power and complexity walls. By employing a software layer that performs dynamic binary translation and applies aggressive optimizations through exploiting the runtime application behavior, these hybrid architectures provide better performance/watt. However, a poorly...
Recent progress in the fields of networking, communications, computing, hardware and software have revolutionized the way people, smart objects and systems interact and exchange information. The Internet of Things (IoT) and Cyber-Physical Systems (CPS) will fuel the achievement of this new interconnected world. However, the success of these systems strongly depends on the security, privacy and trust...
The rising demands for computational performance is a current trend in our increasingly digital world. Keeping up with this trend poses a challenge for every embedded processor system. This paper proposes the use of reconfigurable processor architectures to increase "on demand" processing performance while running a specific target application. The reconfiguration is used to interchange...
The rise of big data systems has created a need for benchmarks to measure and compare the capabilities of these systems. Big data benchmarks present unique scalability challenges. The supercomputing community has wrestled with these challenges for decades and developed methodologies for creating rigorous scalable benchmarks (e.g., HPC Challenge). The proposed PageRank pipeline benchmark employs supercomputing...
Improved quality of results from high level synthesis (HLS) tools have led to their increased adoption in hardware design. However, functional verification of HLS-produced designs remains a major challenge. Once a bug is exposed, designers must backtrace thousands of signals and simulation cycles to determine the underlying cause. The challenge is further exacerbated with HLS-produced non-human-readable...
The search for optimal solutions in Science and Technology is one of the greatest challenges, because performance optimization, especially in complex systems, is often ruled with antagonistic variables such as budget constraints, security requirements and real-time responses. In light of this, many system optimization techniques are constantly being developed and presented to the scientific community...
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