Techniques d'exploration architecturale de design à usage spécifique pour l'accélération de boucles

RÉSUMÉ De nos jours, les industriels privilégient les architectures flexibles afin de réduire le temps et les coûts de conception d’un système. Les processeurs à usage spécifique (ASIP) fournissent beaucoup de flexibilité, tout en atteignant des performances élevées. Une tendance qui a de plus en plus de succès dans le processus de conception d’un système sur puce consiste à spécifier le comportement du système en langage évolué tel que le C, SystemC, etc. La spécification est ensuite utilisée durant le partitionement pour déterminer les composantes logicielles et matérielles du système. Avec la maturité des générateurs automatiques de ASIP, les concepteurs peuvent rajouter dans leurs boîtes à outils un nouveau type d’architecture, à savoir les ASIP, en sachant que ces derniers sont conçus à partir d’une spécification décrite en langage évolué. D’un autre côté, dans le monde matériel, et cela depuis très longtemps, les chercheurs ont vu l’avantage de baser le processus de conception sur un langage évolué. Cette recherche a abouti à l’avénement de générateurs automatiques de matériel sur le marché qui sont des outils d’aide à la conception comme CapatultC, Forte’s Cynthetizer, etc. Ainsi, avec tous ces outils basés sur le langage C, les concepteurs ont un choix de types de design élargi mais, d’un autre côté, les options de designs possibles explosent, ce qui peut allonger au lieu de réduire le temps de conception. C’est dans ce cadre que notre thèse doctorale s’inscrit, puisqu’elle présente des méthodologies d’exploration architecturale de design à usage spécifique pour l’accélération de boucles afin de réduire le temps de conception, entre autres. Cette thèse a débuté par l’exploration de designs de ASIP. Les boucles de traitement sont de bonnes candidates à l’accélération, si elles comportent de bonnes possibilités de parallélisme et si ces dernières sont bien exploitées. Le matériel est très efficace à profiter des possibilités de parallélisme au niveau instruction, donc, une méthode de conception a été proposée. Cette dernière extrait le parallélisme d’une boucle afin d’exécuter plus d’opérations concurrentes dans des instructions spécialisées. Notre méthode se base aussi sur l’optimisation des données dans l’architecture du processeur.---------- ABSTRACT Time to market is a very important concern in industry. That is why the industry always looks for new CAD tools that contribute to reducing design time. Application-specific instruction-set processors (ASIPs) provide flexibility and they allow reaching good performance if they are well designed. One trend that gains more and more success is C-based design that uses a high level language such as C, SystemC, etc. The C-based specification is used during the partitionning phase to determine the software and hardware components of the system. Since automatic processor generators are mature now, designers have a new type of tool they can rely on during architecture design. In the hardware world, high level synthesis was and is still a hot research topic. The advances in ESL lead to commercial high-level synthesis tools such as CapatultC, Forte’s Cynthetizer, etc. The designers have more tools in their box but they have more solutions to explore, thus their use can have a reverse effect since the design time can increase instead of being reduced. Our doctoral research tackles this issue by proposing new methodologies for design space exploration of application specific architecture for loop acceleration in order to reduce the design time while reaching some targeted performances. Our thesis starts with the exploration of ASIP design. We propose a method that targets loop acceleration with highly coupled specialized-instructions executing loop operations. Loops are good candidates for acceleration when the parallelism they offer is well exploited (if they have any parallelization opportunities). Hardware components such as specialized-instructions can leverage parallelization opportunities at low level. Thus, we propose to extract loop parallelization opportunities and to execute more concurrent operations in specialized-instructions. The main contribution of this method is a new approach to specialized-instruction (SI) design based on loop acceleration where loop optimization and transformation are done in SIs directly, instead of optimizing the software code. Another contribution is the design of tightly-coupled specialized-instructions associated with loops based on a 5-pattern representation

Heap Data Allocation to Scratch-Pad Memory in Embedded Systems

This thesis presents the first-ever compile-time method for allocating a portion of a program's dynamic data to scratch-pad memory. A scratch-pad is a fast directly addressed compiler-managed SRAM memory that replaces the hardware-managed cache. It is motivated by its better real-time guarantees vs cache and by its significantly lower overheads in access time, energy consumption, area and overall runtime. Dynamic data refers to all objects allocated at run-time in a program, as opposed to static data objects which are allocated at compile-time. Existing compiler methods for allocating data to scratch-pad are able to place only code, global and stack data (static data) in scratch-pad memory; heap and recursive-function objects(dynamic data) are allocated entirely in DRAM, resulting in poor performance for these dynamic data types. Runtime methods based on software caching can place data in scratch-pad, but because of their high overheads from software address translation, they have not been successful, especially for dynamic data. In this thesis we present a dynamic yet compiler-directed allocation method for dynamic data that for the first time, (i) is able to place a portion of the dynamic data in scratch-pad; (ii) has no software-caching tags; (iii) requires no run-time per-access extra address translation; and (iv) is able to move dynamic data back and forth between scratch-pad and DRAM to better track the program's locality characteristics. With our method, code, global, stack and heap variables can share the same scratch-pad. When compared to placing all dynamic data variables in DRAM and only static data in scratch-pad, our results show that our method reduces the average runtime of our benchmarks by 22.3%, and the average power consumption by 26.7%, for the same size of scratch-pad fixed at 5% of total data size. Significant savings in runtime and energy across a large number of benchmarks were also observed when compared against cache memory organizations, showing our method's success under constrained SRAM sizes when dealing with dynamic data. Lastly, our method is able to minimize the profile dependence issues which plague all similar allocation methods through careful analysis of static and dynamic profile information

Optimal polynomial-time interprocedural register allocation for high-level synthesis and ASIP design

Register allocation, in high-level synthesis and ASIP design, is the process of determining the number of registers to include in the resulting circuit or processor. The goal is to allocate the minimum number of registers such that no scalar variable is spilled to memory. Previously, an optimal polynomial-time algorithm for this problem has been presented for individual procedures represented in Static Single Assignment (SSA) Form. This result is now extended to complete programs (or sub-programs), as long as: (1) each procedure is represented in SSA Form; and (2) at every procedure call, all live variables are split at the call point. With this representation, it is possible to ensure that the interprocedural interference graph (IIG) is chordal, and can therefore be colored optimally in polynomial time. An optimal coloring of the IIG can be achieved by allocating registers for each procedure individually. Previous work has shown that optimal register allocation in SSA Form does not require an interference graph. Optimal interprocedural register allocation, therefore, is achieved without constructing an interference graph, giving the optimal algorithm a significant runtime advantage over prior sub-optimal heuristics

Optimal polynomial-time interprocedural register allocation for high level synthesis and ASIP design

Register allocation, in high-level synthesis and ASIP design, is the process of determining the number of registers to include in the resulting circuit or processor. The goal is to allocate the minimum number of registers such that no scalar variable is spilled to memory. Previously, an optimal polynomial-time algorithm for this problem has been presented for individual procedures represented in Static Single Assignment (SSA) Form. This result is now extended to complete programs (or sub-programs), as long as: (1) each procedure is represented in SSA Form; and (2) at every procedure call, all live variables are split at the call point. With this representation, it is possible to ensure that the interprocedural interference graph (IIG) is chordal, and can therefore be colored optimally in polynomial time. An optimal coloring of the IIG can be achieved by allocating registers for each procedure individually. Previous work has shown that optimal register allocation in SSA Form does not require an interference graph. Optimal interprocedural register allocation, therefore, is achieved without constructing an interference graph, giving the optimal algorithm a significant runtime advantage over prior sub-optimal heuristics