[NEW] Download Steam Chip

I just picked up the new MacBook Pro today and while I primarily use it for college and work, I thought I'd see if any steam games run well on it. I have a steam deck and have a decent library of games, I was just wondering if there's anything that runs particularly well out of the box. I don't really have a preference, just really anything that's known to run great.

Jancke said the key there is the ability to fail over to another system in case of an emergency, but that can be a very complex process. Like many of the changes underway in chip design, it requires a breakdown of some of the traditional silos, where systems, semiconductor, packaging, and software engineers work collaboratively on heterogeneous architectures.

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"Nvidia's running out of steam," John Bollinger, president at Bollinger Capital Management, tells Investor's Business Daily's "Investing With IBD" podcast. He points to Nvidia stock's weekly price chart overlaid with Bollinger Bands as a measure of price volatility. He says the stock has probably gone too far, too fast, and is overdue for a period of consolidation.

That technical indicator is pointing to a potential comeback by now-underdog chipmaker Intel, a Dow Jones component. Bollinger likens Intel to IBM (IBM), blue chip stocks that could be shifting from income generators to vehicles for capital gains in the current market environment. "We see both of those with substantial upside in front of them," he said.

There are still some macro pitfalls to watch for in Intel and Nvidia stock, like the ongoing chip wars and trade relations between the U.S. and China. The issues are real and worth paying attention to, especially given tech's fickleness in crowning winners and losers at times. "We look for signs of technology deterioration, which we haven't seen yet," said Bollinger.

I assume the only major difference between this and an off the shelf APU is that this APU just has everything the steam deck does not utilize disabled or removed for power consumption reasons. I doubt it goes much deeper than that.

The other major improvement concerns power consumption. Interestingly, the new Steam Deck features a more power-efficient AMD chip. The specs note the use of an APU processor built with a 6-nanometer process node instead of merely 7nm.

Woody biomass is highly recalcitrant to enzymatic sugar release and often requires significant size reduction and severe pretreatments to achieve economically viable sugar yields in biological production of sustainable fuels and chemicals. However, because mechanical size reduction of woody biomass can consume significant amounts of energy, it is desirable to minimize size reduction and instead pretreat larger wood chips prior to biological conversion. To date, however, most laboratory research has been performed on materials that are significantly smaller than applicable in a commercial setting. As a result, there is a limited understanding of the effects that larger biomass particle size has on the effectiveness of steam explosion pretreatment and subsequent enzymatic hydrolysis of wood chips.

These results indicate that rapid decompression pretreatments (e.g., steam explosion) that specifically alter accessibility at lower temperature conditions are well suited for larger wood chips due to the non-uniformity in temperature and digestibility profiles that can result from high temperature and short pretreatment times. Furthermore, this study also demonstrated that wood chips were hydrated primarily through the natural pore structure during pretreatment, suggesting that preserving the natural grain and transport systems in wood during storage and chipping processes could likely promote pretreatment efficacy and uniformity.

Woody biomass represents an important source of lignocellulosic biomass for sustainable production of organic chemicals and liquid fuels, with up to 142 million dry tons of sustainably sourced forest biomass and wood waste available in 2012 [1]. This amount has the potential to increase dramatically through future use of dedicated woody bioenergy crops, with between 100 and 300 million dry tons estimated to be produced annually by 2030 [1]. However, woody biomass is recalcitrant to enzymatic sugar release and thus often requires significant size reduction and severe pretreatments to achieve economically viable product yields. Due to its large size and high density, mechanical size reduction of wood has been estimated to consume between 5 and 10 times more energy than required for agricultural residues [2]. The use of wood chips that are larger in size would result in substantially reduced energy requirements for milling, translating into lower conversion costs.

168-h glucose, xylose, and glucose plus xylose yields from enzymatic hydrolysis of each section of pretreated aspen wood chips, as well as milled pretreated aspen. Shown are results from chips and milled wood pretreated at 180 C for 4 (a), 8 (b), 12 (c), and 18 min (d). Yields reflect the amount of each sugar released in enzymatic hydrolysis as a percent of the maximum available of that type of sugar left in the pretreated biomass, as measured by compositional analysis. Error bars the standard deviation of triplicate runs

In contrast to these results for wood chips, the yields were similar for all pretreatment times tested on the milled materials. As such, the 168-h enzyme treatment resulted in glucose yields from 84.5 % for the shortest 4-min pretreatment time to 94.0 % for the 18-min pretreated milled wood. Thus, final glucose yields for enzymatic hydrolysis were significantly higher for the 4-min pretreated milled wood than they were for the 4-min pretreated wood chip. However, glucose yields were very similar for both chips and milled wood for longer pretreatment times.

Why did the milled material exhibit significantly higher digestibility than the corresponding chip only for the 4-min pretreatment, and conversely, why were the final glucose yields similar for pretreated chips and the milled materials for application of 8, 12, and 18-min pretreatment times?

where T s is the surface temperature (that was assumed to be attained immediately), T 0 is the initial temperature, a and b are the cross-sectional dimensions, tag_hash_118 x and tag_hash_120 y are the thermal diffusivities in the x and y directions, respectively, and t is time in minute. To calculate the temperature at the center of the chip, the following conditions were set: x = a/2 and y = b/2. Furthermore, diffusivity in the radial and tangential directions were assumed to be very similar since they are both against the wood grain, and tag_hash_129 x was set equal to tag_hash_131 y [11]. Other parameters used in this study are listed in Table 1. The diffusivity values were obtained from Abasaeed et al. [12], and represent a range of values for conduction in both the radial and longitudinal directions, as well as conduction in the radial direction in hemicellulose-free wood; these values were determined experimentally for the hardwood species southern red oak.

Based on the analysis described above, the temperature at the center of the wood chip was plotted versus pretreatment time in Fig. 3 for the three different assumed thermal diffusivity values. The results show that the temperature at the center of the wood chip increased rapidly during the first couple of minutes of pretreatment and then asymptotically approached the target temperature of 180 C. The inset table in Fig. 3 summarizes the time it took to reach a specific center temperature for the different thermal diffusivity values. As such, this model predicts that it would take between 3.7 and 7.6 min for the center of the chip to reach within 5 C of the target temperature, depending on the wood thermal diffusivity assumed.

Predicted temperature at the center of a wood chip with dimensions used in this study versus pretreatment time at 180 C based on a solution to two-dimensional heat conduction through a rectangular cross-section [10, 11]. Temperature profiles are given for 3 thermal diffusivities to represent a range of possible values that depend on grain direction, wood density, and hemicellulose content (Abasaeed et al. [12]). The inset table displays the numerical values of the estimated times it takes for the center of the wood chip to reach a specific temperature for each diffusivity

An additional model was also applied to provide a second estimate of the heating time. The analysis by Simpson [13] is based on a multiple regression analysis in which heating times for a large combination of variables (including chip size, temperature, and wood-specific gravity) were calculated using heat conduction equations and then fitted to the regression model in Eq. 2.

While a pretreatment reaction temperature of 180 C was studied in this paper, these models can also be used to evaluate other pretreatment conditions as well. For example, if the temperature were raised from 180 to 200 C, as is frequently done for hydrothermal pretreatments, the optimum reaction time needed would drop by a factor of about four based on the pretreatment severity parameter [14]. The models discussed above suggest that heat transfer concerns and non-uniformity throughout a wood chip would become more of an issue under these shorter pretreatment times. In general, this study suggests that it would be wise to avoid extremely high pretreatment temperatures and their corresponding short reaction times since non-uniformity in temperature and yield profiles will become an issue in large wood chips.

Since modeling suggested that pretreatment effectiveness may be impacted by temperature gradients across a wood chip, it was sought to determine what effect this differential heating profile had on substrate characteristics that may account for differing digestibility across the thickness of pretreated wood chips. Specifically, what changes to chemical and structural features may have contributed to lower enzymatic sugar yields for the inner sections of the 4-min pretreated chip compared to the outer sections? ff782bc1db