The Nintendo Switch was the best-selling console in Japan with 241,803 units sold for October 2024, according to VGChartz estimates. The Nintendo Switch has now sold an estimated 34.30 million units lifetime in Japan.

The PlayStation 5 sold an estimated 49,056 units to bring its lifetime sales to 6.12 million units. The Xbox Series X|S sold 5,862 units to bring their lifetime sales to 0.64 million units. The PlayStation 4 sold an estimated 162 units to bring its lifetime sales to 9.68 million units.

PS5 sales compared to the same month for the PS4 in 2017 are down by nearly 53,000 units, while the Xbox Series X|S compared to the same month for the Xbox One are up by over 5,000 units. PS4 sold 101,851 units for the month of October 2017 and Xbox One sales were at 563 units.

Nintendo Switch sales compared to the same month a year ago are down by 41,368 units (-14.6%). PlayStation 5 sales are down by 17,208 (-26.0%) and Xbox Series X|S sales are down by 2,294 units (-28.1%). The PlayStation 4 is down by 5,362 units (-97.1%) year-over-year.

Looking at sales month-on-month, Nintendo Switch sales are down up nearly 67,000 units, the PlayStation 5 sales are down by over 4,000 units, and Xbox Series X|S sales are up by over 2,000 units.

2024 year-to-date, the Nintendo Switch has sold an estimated 2.47 million units, the PlayStation 5 has sold 1.16 million units, and the Xbox Series X|S has sold 0.09 million units.

Monthly Sales:

Japan hardware estimates for October 2024 (Followed by lifetime sales):

1. Switch - 241,803 (34,300,699)
2. PlayStation 5 - 49,056 (6,121,649)
3. Xbox Series X|S - 5,862 (636,764)
4. PlayStation 4 - 162 (9,679,626)

Weekly Sales:

Japan October 12, 2024 hardware estimates:

1. Switch - 55,097
2. PlayStation 5 - 11,810
   
3. Xbox Series X|S - 429
4. PlayStation 4 - 31

Japan October 19, 2024 hardware estimates:

1. Switch - 58,866
2. PlayStation 5 - 11,324
3. Xbox Series X|S - 1,612
4. PlayStation 4 - 36

Japan October 26, 2024 hardware estimates:

1. Switch - 67,736
2. PlayStation 5 - 11,951
3. Xbox Series X|S - 1,207
4. PlayStation 4 - 40

Japan November 2, 2024 hardware estimates:

1. Switch - 60,104
2. PlayStation 5 - 13,971
3. Xbox Series X|S - 2,614
4. PlayStation 4 - 55

A life-long and avid gamer, William D'Angelo was first introduced to VGChartz in 2007. After years of supporting the site, he was brought on in 2010 as a junior analyst, working his way up to lead analyst in 2012 and taking over the hardware estimates in 2017. He has expanded his involvement in the gaming community by producing content on his own YouTube channel and Twitch channel. You can contact the author on Twitter @TrunksWD.

Full Article - https://www.vgchartz.com/article/463008/switch-comfortably-best-seller-japan-hardware-estimates-for-october-2024/

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In-band full-duplex systems can transmit and receive information simultaneously on the same frequency band. However, due to the strong self-interference caused by the transmitter to its own receiver, the use of non-linear digital self-interference cancellation is essential. In this work, we describe a hardware architecture for a neural network-based non-linear self-interference (SI) canceller and we compare it with our own hardware implementation of a conventional polynomial based SI canceller. In particular, we present implementation results for a shallow and a deep neural network SI canceller as well as for a polynomial SI canceller. Our results show that the deep neural network canceller achieves a hardware efficiency of up to $312.8$ Msamples/s/mm$^2$ and an energy efficiency of up to $0.9$ nJ/sample, which is $2.1 imes$ and $2 imes$ better than the polynomial SI canceller, respectively. These results show that NN-based methods applied to communications are not only useful from a performance perspective, but can also be a very effective means to reduce the implementation complexity.

In the era of Internet of Things (IoT), Malware has been proliferating exponentially over the past decade. Traditional anti-virus software are ineffective against modern complex Malware. In order to address this challenge, researchers have proposed Hardware-assisted Malware Detection (HMD) using Hardware Performance Counters (HPCs). The HPCs are used to train a set of Machine learning (ML) classifiers, which in turn, are used to distinguish benign programs from Malware. Recently, adversarial attacks have been designed by introducing perturbations in the HPC traces using an adversarial sample predictor to misclassify a program for specific HPCs. These attacks are designed with the basic assumption that the attacker is aware of the HPCs being used to detect Malware. Since modern processors consist of hundreds of HPCs, restricting to only a few of them for Malware detection aids the attacker. In this paper, we propose a Moving target defense (MTD) for this adversarial attack by designing multiple ML classifiers trained on different sets of HPCs. The MTD randomly selects a classifier; thus, confusing the attacker about the HPCs or the number of classifiers applied. We have developed an analytical model which proves that the probability of an attacker to guess the perfect HPC-classifier combination for MTD is extremely low (in the range of $10^{-1864}$ for a system with 20 HPCs). Our experimental results prove that the proposed defense is able to improve the classification accuracy of HPC traces that have been modified through an adversarial sample generator by up to 31.5%, for a near perfect (99.4%) restoration of the original accuracy.

A method, system and computer program product for intelligently responding to hardware failures so as to optimize system performance. An administrative server monitors the utilization of the hardware as well as the software components running on the hardware to assess a context of the software components running on the hardware. Upon detecting a hardware failure, the administrative server analyzes the hardware failure to determine the type of hardware failure and analyzes the properties of the workload running on the failed hardware. The administrative server then responds to the detected hardware failure based on various factors, including the type of the hardware failure, the properties of the workload running on the failed hardware and the context of the software running on the failed hardware. In this manner, by taking into consideration such factors in responding to the detected hardware failure, a more intelligent response is provided that optimizes system performance.

A system, method and computer program product for avoiding a processing flaw in a computer processor triggered by a predetermined sequence of hardware events. The system may include a detecting unit and a power-on reset unit. The detecting unit detects that the predetermined sequence of hardware events is going to occur at the computer processor. The power-on reset unit initializes the computer processor to a state stored in computer memory in response to detecting the sequence of hardware events.

A processor having a streaming unit is disclosed. In one embodiment, a processor includes one or more execution units configured to execute instructions of a processor instruction set. The processor further includes a streaming unit configured to execute a first instruction of the processor instruction set, wherein executing the first instruction comprises the streaming unit loading a first data stream from a memory of a computer system responsive to execution of a first instruction. The first data stream comprises a plurality of data elements. The first instruction includes a first argument indicating a starting address of the first stream, a second argument indicating a stride between the data elements, and a third argument indicative of an ending address of the stream. The streaming unit is configured to output a second data stream corresponding to the first data stream.

The systems and methods described herein may be used to implement a shared dynamic-sized data structure using hardware transactional memory to simplify and/or improve memory management of the data structure. An application (or thread thereof) may indicate (or register) the intended use of an element of the data structure and may initialize the value of the data structure element. Thereafter, another thread or application may use hardware transactions to access the data structure element while confirming that the data structure element is still part of the dynamic data structure and/or that memory allocated to the data structure element has not been freed. Various indicators may be used determine whether memory allocated to the element can be freed.

A usage allocation of a hardware resource to each of a number of workloads over time is determined using a demand model. The usage allocation of the resource includes a current and past actual usage allocation of the resource, a future projected usage allocation of the resource, and current and past actual usage of the resource. A capacity allocation of the resource is determined using a capacity model. The capacity allocation of the resource includes a current and past capacity and a future projected capacity of the resource. Whether a gap exists between the usage allocation and the capacity allocation is determined using a mapping model. Where the gap exists between the usage allocation of the resource and the capacity allocation of the resource, a user is presented with options determined using the mapping model and selectable by the user to implement a remediation strategy to close the gap.

The disclosure relates to the implementation of multi-tasking on a digital signal processor. Blocking functions are arranged such that they do not make use of a processor's hardware stack. Respective function calls are replaced with a piece of inline assembly code, which instead performs a branch to the correct routine for carrying out said function. If a blocking condition of the blocking function is encountered, a task switch can be done to resume another task. Whilst the hardware stack is not used when a task switch might have to occur, mixed-up contents of the hardware stack among function calls performed by different tasks are avoided.

An adaptable integrated circuit is disclosed having a plurality of heterogeneous computational elements coupled to an interconnection network. The interconnection network changes interconnections between the plurality of heterogeneous computational elements in response to configuration information. A first group of computational elements is allocated to form a first version of a functional unit to perform a first function by changing interconnections in the interconnection network between the first group of heterogeneous computational elements. A second group of computational elements is allocated to form a second version of a functional unit to perform the first function by changing interconnections in the interconnection network between the second group of heterogeneous computational elements. One or more of the first or second group of heterogeneous computational elements are reallocated to perform a second function by changing the interconnections between the one or more of the first or second group of heterogeneous computational elements.

Mechanisms are provided for offloading a workload from a main thread to an assist thread. The mechanisms receive, in a fetch unit of a processor of the data processing system, a branch-to-assist-thread instruction of a main thread. The branch-to-assist-thread instruction informs hardware of the processor to look for an already spawned idle thread to be used as an assist thread. Hardware implemented pervasive thread control logic determines if one or more already spawned idle threads are available for use as an assist thread. The hardware implemented pervasive thread control logic selects an idle thread from the one or more already spawned idle threads if it is determined that one or more already spawned idle threads are available for use as an assist thread, to thereby provide the assist thread. In addition, the hardware implemented pervasive thread control logic offloads a portion of a workload of the main thread to the assist thread.

Efficient data processing apparatus and methods include hardware components which are pre-programmed by software. Each hardware component triggers the other to complete its tasks. After the final pre-programmed hardware task is complete, the hardware component issues a software interrupt.

A processor receives an instruction operation (OP) code from a verification system. The instruction OP code includes instruction bits and forced event bits. The processor identifies a forced event based upon the forced event bits, which is unrelated to an instruction that corresponds to the instruction bits. In turn, the processor executes the forced event.

A prefetch optimizer tool for an information handling system (IHS) may improve effective memory access time by controlling both hardware prefetch operations and software prefetch operations. The prefetch optimizer tool selectively disables prefetch instructions in an instruction sequence of interest within an application. The tool measures execution times of the instruction sequence of interest when different prefetch instructions are disabled. The tool may hold hardware prefetch depth constant while cycling through disabling different prefetch instructions and taking corresponding execution time measurements. Alternatively, for each disabled prefetch instruction in the instruction sequence of interest, the tool may cycle through different hardware prefetch depths and take corresponding execution time measurements at each hardware prefetch depth. The tool selects a combination of hardware prefetch depth and prefetch instruction disablement that may improve the execution time in comparison with a baseline execution time.

Various technologies and techniques are disclosed for using transactional memory hardware to accelerate virtualization or emulation. State isolation can be facilitated by providing isolated private state on transactional memory hardware and storing the stack of a host that is performing an emulation in the isolated private state. Memory accesses performed by a central processing unit can be monitored by software to detect that a guest being emulated has made a self modification to its own code sequence. Transactional memory hardware can be used to facilitate dispatch table updates in multithreaded environments by taking advantage of the atomic commit feature. An emulator is provided that uses a dispatch table stored in main memory to convert a guest program counter into a host program counter. The dispatch table is accessed to see if the dispatch table contains a particular host program counter for a particular guest program counter.

Disclosed in one aspect is the fixed door pull handle assembly that includes an elongated door pull handle with two or more support standoffs projecting away from the elongated door pull handle and securing the elongated door pull handle to the doorframe or to the body of the door. One of the support standoffs is user rotatable, and rotatably engages a door latch assembly within the door. In another aspect, the support standoff is not user rotatable. Instead, a center-pivoting handle is mounted in-line with one of the support standoffs and rotatably engages the door latch assembly within the door. The center-pivoting handle is recessed within the elongated handle.

A device and method for communicating, via a memory-mapped communication path, between a host processor and a cellular-communication modem are disclosed. The method includes providing logical channels over the memory-mapped communication path and transporting data organized according to one or more cellular communication protocols over at least one of the logical channels. In addition, the method includes acknowledging when data transfer occurs between the host processor and the cellular-communication modem, issuing commands between the host processor and the cellular-communication modem, and communicating and managing a power state via one or more of the logical channels.

A portable apparatus is removably and communicatively connectable to a network device to communicate authentication or authorization credentials of a user in connection with the user logging into or entering into a transaction with a network site. The apparatus includes a communications port to connect and disconnect the apparatus to and from the network device and to establish a communication link with the network device when connected thereto. A processor receives a secure message from the network security server via the port. The message has a PIN for authenticating the user to the network site, and is readable only by the apparatus. The processor either transfers, via the port, the received PIN to an application associated with the network site that is executing on the network device or causes the apparatus to display the received PIN for manual transfer to the application associated with the network site.

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